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Model Library Author Index

Adhya, N

• Adhya, N, Tawarmalani, M, and Sahinidis, N, A Lagrangian Approach to the Pooling Problem. Industrial and Engineering Chemical Research 38 (1999), 1956-1972.
• Adhya, N, Tawarmalani, M, and Sahinidis, N, Global optimization of the pooling problem. Industrial and Engineering Chemistry 38 (1999), 1956--1972.
• Models:

  haverly	Haverly's pooling problem example
  pool	Pooling problem

Adjiman, C S

• Floudas, C A, Pardalos, P M, Adjiman, C S, Esposito, W R, Gumus, Z H, Harding, S T, Klepeis, J L, Meyer, C A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization. Kluwer Academic Publishers, 1999.
• Models:

  trimloss	Trim Loss Minimization
  pump	Pump Network Synthesis
  methanol	Methanol to hydrocarbons COPS 2.0 #13
  bchtlbas	Trim Loss Minimization with Heuristic using BCH Facility

Aggarwal, A

• Aggarwal, A, and Floudas, C A, Synthesis of General Distillation Sequences: Nonsharp Separation. Computers and Chemical Engineering 14, 6 (1990), 631-653.
• Models:

  nonsharp	Synthesis of General Distillation Sequences
  nsharpx	Synthesis of General Distillation Sequences

Ahmad, M

• Ahmad, M, and Kutcher, G P, Irrigation Planning with Environmental Considerations - A Case Study of Pakistans's Indus Basin. Tech. rep., The World Bank, 1992.
• Models:

  indus89

  Indus Basin Water Resource Model

Alatorre, J

• Kendrick, D, Meeraus, A, and Alatorre, J, The Planning of Investment Programs in the Steel Industry. The Johns Hopkins University Press, Baltimore and London, 1984.
• Models:

  mexss	Mexico Steel - Small Static
  mexsd	Mexico Steel - Small Dynamic
  mexls	Mexico Steel - Large Static

Andersen, E

• Andersen, E, MOSEK Optimization Tools Manual, online at http://www.mosek.com/documentation.html.
• Models:

  qp7	Standard QP Model - conic programming formulation

Anderson, D

• Turvey, R, and Anderson, D, Electricity Economics: Essays and Case Studies. Johns Hopkins University Press, Baltimore and London, 1977.
• Models:

  turkpow

  Turkey Power Planning Model

Anitescu, M

• Anitescu, M, and Serban, R, A Sparse Superlinearly Convergent SQP with Applications to Two-Dimensional Shape Optimization. Tech. rep., Argonne National Laboratory, 1998.
• Models:

  camshape

  Shape optimization of a cam COPS 2.0 #4

ARCNET

• ARCNET, ARCNET User Guide, Analysis, Research and Computation, Austin, Texas, 1982.
• Models:

  pdi	ARCNET - Production Distribution and Inventory

Aronofsky, J S

• Aronofsky, J S, Dutton, J M, and Tayyabkhan, M T, Managerial Planning with Linear Programming. John Wiley and Sons, New York, 1978.
• Models:

  marco

  Mini Oil Refining Model

Ascher, U M

• Ascher, U M, Mattheij, R M M, and Russell, R D, Numerical Solution of Boundary Value Problems for Ordinary Differential Equations. SIAM, 1995.
• Models:

  pinene	Isometrization of alpha-pinene COPS 2.0 #5
  flowchan	Flow in a channel COPS 2.0 #7
  gasoil	Catalytic cracking of gas oil COPS 2.0 #12
  methanol	Methanol to hydrocarbons COPS 2.0 #13

Audet, C

• Audet, C, Brimberg, J, Hansen, P, and Mladenovic, N, Pooling problem: Alternate formulations and solution methods. Tech. rep., Les Cashiers Du GERAD G-2000-23, Montreal, 2000.
• Models:

  pool	Pooling problem

Averick, B M

• Averick, B M, Carter, R G, More, J J, and Xue, G L, The MINPACK-2 Test Problem Collection. Tech. rep., Mathematics and Computer Science Division, Argonne National Laboratory, 1992.
• Models:

  pinene	Isometrization of alpha-pinene COPS 2.0 #5
  gasoil	Catalytic cracking of gas oil COPS 2.0 #12
  methanol	Methanol to hydrocarbons COPS 2.0 #13
  torsion	Elastic-plastic torsion COPS 2.0 #15
  jbearing	Journal bearing COPS 2.0 #16

Balakrishnan, N

• Kotz, J, and Balakrishnan, N, Continuous Univariate Distributions, Volumes I and II, 2nd Ed.. John Wiley and Sons, 1994.
• Models:

  mlbeta

  Fitting of beta distribution through maximum likelihood

Balard, C L

• Balard, C L, Fullerton Don, Shoven, J, and Whalley, J, A General Equilibrium Model for Tax Policy Evaluation. University of Chicago Press, 1985.
• Models:

  gemmge

  GEMTAP: A general equilibrium model for tax policy

Beasley, J E

• Beasley, J E, OR-Library: distributing test problems by electronic mail. Journal of the Operational Research Society 41 (11) (1990), 1069-1072.
• Models:

  bchmknap	Multi knapsack problem using BCH Facility
  bchtsp	Traveling Salesman Problem Instance with BCH

Beauvais, J

• Beauvais, J, Solving the Maximum Queens Chess Problem with OSL. IBM Kingston, EKKNEWS 2 (1991).
• Models:

  queens

  Maximum Queens Chess Problem

Belotti, P

• Kucherenko, S, Belotti, P, Liberti, L, and Maculan, N, New formulations for the Kissing Number Problem. Tech. rep., LIX Ecole Polytechnique, Palaiseau F-91128, France, 2006.
• Models:

  knp	Kissing Number Problem using Variable Neighborhood Search

Beltramo, M A

• Manne, A S, and Beltramo, M A, GTM: An International Gas Trade Model ,International Energy Program Report. Stanford University, 1984.
• Models:

  gtm	International Gas Trade Model

Ben-Tal, A

• Ben-Tal, A, Eiger, G, and Gershovitz, V, Global Minimization by Reducing the Duality Gap. Mathematical Programming 63 (1994), 193-212.
• Models:

  pool	Pooling problem

Benson, H P

• Benson, H P, and Boger, G M, Multiplicative programming problems: Analysis and efficient point search heuristic. Journal of Optimization Theory and Applications 94 (1997), 487-510.
• Models:

  lmp3	Linear Multiplicative Model - Type 3

Bergendorff, H

• Bergendorff, H, Glenshaw, P, and Meeraus, A, The Planning of Investment Programs in the Paper Industry. Tech. rep., The World Bank, 1980.
• Models:

  tforss	Antalya Forestry Model - Steady State
  tfordy	Antalya Forestry Model - Dynamic

Berna, T

• Berna, T, Locke, M, and Westerberg, A W, A New Approach to Optimization of Chemical Processes. American Institute of Chemical Engineers Journal 26, 1 (1980), 37-43.
• Models:

  alkyl

  Simplified Alkylation Process

Bertsekas, D P

• Bertsekas, D P, and Tsitsiklis, J N, Parallel and distributed computation: numerical methods. Prentice-Hall, Inc., Upper Saddle River, NJ, USA, 1989.
• Models:

  jacobi

  Asynchronous Jacobi Methods

Betts, J

• Betts, J, Eldersveld, S, and Huffman, W, Sparse Nonlinear Programming Test Problems. Tech. rep., Boeing Computer Services, 1993.
• Models:

  lnts	Particle steering COPS 2.0 #9

Biegler, L T

• Tjoa, I B, and Biegler, L T, Simultaneous Solution and Optimization Strategies for Parameter Estimation of Differential-Algebraic Equations Systems. Ind. Eng. Chem. Res. 30 (1991), 376-385.
• Models:

  pinene	Isometrization of alpha-pinene COPS 2.0 #5
  gasoil	Catalytic cracking of gas oil COPS 2.0 #12
  methanol	Methanol to hydrocarbons COPS 2.0 #13

Birge, J R

• Birge, J R, and Louveaux, F V, Introduction to Stochastic Programming. Springer, 1997.
• Models:

  farm	The Farmer's Problem formulated for DECIS
  clearlak	Scenario Reduction: ClearLake exercise

Blitzer, C

• Blitzer, C, Meeraus, A, and Stoutjesdijk, A J, A Dynamic model of OPEC Trade and Production. Journal of Development Economics, 2 (1975), 318-335.
• Models:

  otpop

  OPEC Trade and Production

Boehringer, C

• Boehringer, C, and Rutherford, T F, Carbon taxes with exemptions in an open economy: a general equilibrium analysis of the German tax initiative. Journal of Environmental Economics and Management 32 (2) (1997), 189-203.
• Models:

  sammge

  Carbon taxes with exemptions for heavy industry

Boger, G M

• Benson, H P, and Boger, G M, Multiplicative programming problems: Analysis and efficient point search heuristic. Journal of Optimization Theory and Applications 94 (1997), 487-510.
• Models:

  lmp3	Linear Multiplicative Model - Type 3

Bollapragada, S

• Bollapragada, S, Cheng, H, Phillips, M, and Garbiras, M, NBC's Optimization Systems Increase Its Revenues and Productivity. Interfaces 31, 1 (2002).
• Bollapragada, S, Bussieck, M R, and Mallik, S, Scheduling Commercial Videotapes in Broadcast Television, 2003.
• Models:

  tvcsched

  Flow Formulation of the ISCI Rotator Problem

Bondarenko, A S

• Rothschild, B J, Sharov, A F, and Bondarenko, A S, Estimating Growth and Mortality in Stage-Structured Populations. Journal of Plankton Research 19 (1997), 1913-1928.
• Models:

  popdynm

  Marine population dynamics COPS 2.0 #6

Borland

• Borland, Eureka: The Solver, Borland International, Scotts Valley, California, 1987.
• Models:

  house

  House Plan Design

Borndoerfer, R

• Borndoerfer, R, Groetschel, M, and Loebel, A, Alcuins Transportation Problems and Integer Programming. In Butzer, P L, Ed, Charlemagne and His Heritage: 1200 Years of Civilization and Science in Europe. Brepols, Belgium, 1998, pp. 379-409.
• Models:

  cross

  Alcuin's River Crossing

Bosch, R A

• Bosch, R A, Peacable Coexisting Armies of Queens. OPTIMA MPS Newsletter, 62 (1999), 6-9.
• Bosch, R A, Mindsharpener. Optima MP 70 (2003), 8-9.
• Bosch, R A, Monochromatic Squares. Optima MP 71 (2004), 6-7.
• Models:

  dice	Non-transitive Dice Design
  coexx	Peacefully Coexisting Armies of Queens - tight
  coex	Peacefully Coexisting Armies of Queens
  dicex	Non-transitive Dice Design - Enhanced
  dicegrid	MIP Decomposition and Parallel Grid Submission - DICE Example

Boussofiane

• Dyson, Thanassoulis, and Boussofiane, A DEA Tutorial. Warwick Business School
• Models:

  dea	Data Envelopment Analysis - DEA

Box, G E P

• Box, G E P, Hunter, W G, MacGregor, J F, and Erjavec, J, Some Problems Associated with the Analysis of Multiresponse Data. Technometrics 15 (1973), 33-51.
• Models:

  pinene

  Isometrization of alpha-pinene COPS 2.0 #5

Bracken, J

• Bracken, J, and McCormick, G P, Selected Applications of Nonlinear Programming. John Wiley and Sons, New York, 1968.
• Models:

  weapons	Weapons Assignment
  bid	Bid Evaluation
  process	Alkylation Process Optimization
  chem	Chemical Equilibrium Problem
  ship	Structural Optimization
  linear	Linear Regression with Various Criteria
  least	Nonlinear Regression Problem
  like	Maximum Likelihood Estimation
  chance	Chance Constrained Feed Mix Problem
  sample	Stratified Sample Design
  launch	Launch Vehicle Design and Costing
  bidsos	Bid Evaluation with SOS2 Sets

Breton, M

• Brimberg, J, Hansen, P, Lih, K, Mladenovic, N, and Breton, M, An Oil Pipeline Design Problem. Operations Research 51 (2) (2003), 228-239.
• Models:

  bchoil	Oil Pipeline Design Problem using BCH Facility
  ccoil	Oil Pipeline Design Problem using concurrent MIP solves

Brimberg, J

• Audet, C, Brimberg, J, Hansen, P, and Mladenovic, N, Pooling problem: Alternate formulations and solution methods. Tech. rep., Les Cashiers Du GERAD G-2000-23, Montreal, 2000.
• Brimberg, J, Hansen, P, Lih, K, Mladenovic, N, and Breton, M, An Oil Pipeline Design Problem. Operations Research 51 (2) (2003), 228-239.
• Models:

  pool	Pooling problem
  bchoil	Oil Pipeline Design Problem using BCH Facility
  ccoil	Oil Pipeline Design Problem using concurrent MIP solves

Brooke, A

• Brooke, A, Kendrick, D, and Meeraus, A, GAMS: A User's Guide. The Scientific Press, Redwood City, California, 1988.
• Brooke, A, Drud, A S, and Meeraus, A, Modeling Systems and Nonlinear Programming in a Research Environment. In Ragavan, R, and Rohde, S M, Eds, Computers in Engineering, Vol. III. ACME, 1985.
• Models:

  water	Design of a Water Distribution Network
  great	Great Circle Distances
  waterx	Design of a Water Distribution Network (MINLP)

Brown, M

• Brown, M, Dammert, A, Meeraus, A, and Stoutjesdijk, A J, Worldwide Investment Analysis - The Case of Aluminum. Tech. rep., The World Bank, 1983.
• Models:

  alum	World Aluminum Model

Bryson, A E

• Bryson, A E, and Ho, Y, Applied Optimal Control: Optimization, Estimation, and Control. John Wiley and Sons, 1975.
• Bryson, A E, Dynamic Optimization. Addison Wesley, 1999.
• Models:

  lnts	Particle steering COPS 2.0 #9
  rocket	Goddard rocket COPS 2.0 #10

Bulirsch, R

• Bulirsch, R, Ed, Optimal Control. Birkhauser Verlag, 1993.
• Models:

  glider

  Hang glider COPS 2.0 #11

Bureau T E

• Wright, S I, Le, Q H, Schoen, D J, and Bureau T E, Population Dynamics of an Ac-like Transposable Element in Self- and Cross-Pollinating Arabidopsis. Genetics 158 (2001), 1279-1288.
• Models:

  herves

  Herves (Transposable Element) Activity Calculations

Burkard, R E

• Burkard, R E, Karisch, S E, and Rendl, F, QAPLIB - A Quadratic Assignment Problem Library. Journal of Global Optimization 10 (1997), 391--403.
• Models:

  awkqap

  Input file generation with AWK for the Quadratic Assignment Problem

Bussieck, M R

• Bussieck, M R, Optimal Lines in Public Rail Transport. PhD thesis, TU Braunschweig, 1998.
• Bussieck, M R, Kreuzer, P, and Zimmermann, U T, Optimal Lines for Railway Systems. European Journal of Operation Research 96, 1 (1996), 54-63.
• Bollapragada, S, Bussieck, M R, and Mallik, S, Scheduling Commercial Videotapes in Broadcast Television, 2003.
• Bussieck, M R, and Ni, H, Technical Note: Solving the Steiner Tree Problem with GAMS Branch-and-Cut Facility. Tech. rep., GAMS Development Corporation, 2003.
• Bussieck, M R, and Ni, H, Technical Note: Solving an Oil Pipeline Design Problem with the GAMS Branch-and-Cut Facility. Tech. rep., GAMS Development Corporation, 2003.
• Models:

  lop	Line Optimization
  tvcsched	Flow Formulation of the ISCI Rotator Problem
  bchfcnet	Fixed Cost Network Flow Problem with Cuts using BCH Facility
  bchoil	Oil Pipeline Design Problem using BCH Facility

C. Strugarek

• H. Heitsch, W. Roemisch, and C. Strugarek, Stability of Multistage Stochastic Programs. SIAM Journal on Optimization 17 (2006), 511-525.
• Models:

  srpchase

  Scenario Tree Construction Example

Capriz, G

• Capriz, G, and Cimatti, G, Free Boundary Problems in the Theory of Hydrodynamic Lubrication: A Survey. In Fasano, A, and Primicerio, M, Eds, Research Notes in Mathematics. Pitman, 1983, pp. 613-635.
• Models:

  jbearing

  Journal bearing COPS 2.0 #16

Carlson, R C

• Carlson, R C, and Nemhauser, G L, Scheduling to Minimize Interaction Cost. Operations Research 14 (1966), 52-58.
• Models:

  nemhaus

  Scheduling to Minimize Interaction Cost

Carter, R G

• Averick, B M, Carter, R G, More, J J, and Xue, G L, The MINPACK-2 Test Problem Collection. Tech. rep., Mathematics and Computer Science Division, Argonne National Laboratory, 1992.
• Models:

  pinene	Isometrization of alpha-pinene COPS 2.0 #5
  gasoil	Catalytic cracking of gas oil COPS 2.0 #12
  methanol	Methanol to hydrocarbons COPS 2.0 #13
  torsion	Elastic-plastic torsion COPS 2.0 #15
  jbearing	Journal bearing COPS 2.0 #16

Cattaneo, A

• Robinson, S, Cattaneo, A, and El-Said, M, Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods. Economic System Research 13, 1 (2001).
• Models:

  cesam

  Cross Entropy SAM Estimation

CDC

• CDC, APEX-III Reference Manual Version 1.2, Control Data Corporation, Minneapolis, 1980. MIP Sample Problem
• CDC, IFPS/OPTIMIM - Users Manual, Control Data Corporation, Minneapolis, 1984.
• CDC, PDS/APEX Sample Model Library. Control Data Corporation
• Models:

  prodsch	APEX - Production Scheduling Model
  port	Simple Portfolio Model
  ajax	Ajax Paper Company Production Schedule
  prodschx	Production Scheduling Model using SOS1 and SOS2

Cesari, L

• Cesari, L, Optimization - Theory and Applications. Springer Verlag, 1983.
• Models:

  chain

  Hanging Chain COPS 2.0 #3

Chakravarty, S

• Chakravarty, S, Optimum Savings with a Finite Planning Horizon. International Economic Review 3 (1962), 338-355.
• Models:

  chakra

  Optimal Growth Model

Chen, C H

• Chen, C H, and Chou, C Y, Determining the Optimum Process Mean under a Beta Distribution. Journal of the Chinese Institute of Industrial Engineers 18 (3) (2003), 27--32.
• Models:

  procmean

  Optimal Process Mean

Chenery, H B

• Chenery, H B, Robinson, S, and Syrquin, M, Eds, Industrialization and Growth: A Comparative Study. Oxford University Press, London, 1986.
• Chenery, H B, Ed, Studies of Development Planning. Harvard University Press, 1971.
• Chenery, H B, Ed, Structural Change and Development Policy. Oxford University Press, New York and Oxford, 1979.
• Models:

  chenery	Substitution and Structural Change
  pak	Optimal Patterns of Growth and Aid
  westmip	Economies of Scale and Investment over Time

Cheng, H

• Bollapragada, S, Cheng, H, Phillips, M, and Garbiras, M, NBC's Optimization Systems Increase Its Revenues and Productivity. Interfaces 31, 1 (2002).
• Models:

  tvcsched

  Flow Formulation of the ISCI Rotator Problem

Chlond, M J

• Chlond, M J, Daniel, R C, and Heipcke, S, Fiveleapers a-leaping. http://www.chlond.demon.co.uk/leapers/
• Models:

  fiveleap

  The Five Leaper Tour Problem

Cho, B R

• Phillips, M D, and Cho, B R, Determining the Optimum Process Mean under a Beta Distribution. A Nonlinear model for determining the most economic process mean under a beta distribution 7 (2000), 61--74.
• Models:

  procmean

  Optimal Process Mean

Choksi, A M

• Choksi, A M, Meeraus, A, and Stoutjesdijk, A J, The Planning of Investment Programs in the Fertilizer Industry. The John Hopkins University Press, Baltimore and London, 1980.
• Models:

  ferts	Egypt - Static Fertilizer Model
  fertd	Egypt - Dynamic Fertilizer Model

Chou, C Y

• Chen, C H, and Chou, C Y, Determining the Optimum Process Mean under a Beta Distribution. Journal of the Chinese Institute of Industrial Engineers 18 (3) (2003), 27--32.
• Models:

  procmean

  Optimal Process Mean

Choypeng, P

• Choypeng, P, Puakpong, P, and Rosenthal, R E, Optimal Ship Routing and Personnel Assignment for Naval Recruitment in Thailand. Interfaces 16, 4 (1986), 356-366.
• Models:

  thai	Thai Navy Problem
  thaix	Thai Navy Problem Extended

Cimatti, G

• Capriz, G, and Cimatti, G, Free Boundary Problems in the Theory of Hydrodynamic Lubrication: A Survey. In Fasano, A, and Primicerio, M, Eds, Research Notes in Mathematics. Pitman, 1983, pp. 613-635.
• Models:

  jbearing

  Journal bearing COPS 2.0 #16

Claessens, M T

• Claessens, M T, van Dijk, N M, and Zwaneveld, P J, Cost Optimal Allocation of Rail Passenger Lines. European Journal Operation Research 110, 3 (1998), 474-489.
• Models:

  lop	Line Optimization

Clark, R H

• Clark, R H, Kennington, L, Meyer, R R, and Ramamurti, M, Generalized Networks: Parallel Algorithms and an Empirical Analysis. ORSA Journal on Computing 4, 2 (1992), 132-145.
• Models:

  netgen

  Min Cost Flow with an Instance generated by NETGEN

Coello Coello, C A

• Coello Coello, C A, Treating Constraints as Objectives for Single-Objective Evolutionary Optimization. Engineering Optimization 32 (2000), 275-308.
• Models:

  bearing

  Hydrostatic Thrust Bearing Design for a Turbogenerator

Condon, T

• Condon, T, Dahl, H, and Devarajan, S, Implementing a Computable General equilibrium Model on GAMS - The Cameroon Model. Tech. rep., The World Bank, 1987.
• Models:

  camcge	Cameroon General Equilibrium Model Using NLP
  cammcp	Cameroon General Equilibrium Model Using MCP
  cammge	Cameroon General Equilibrium Model Using MPSGE
  camcns	Cameroon General Equilibrium Model Using CNS

Cox, D R

• Cox, D R, and Snell, E J, Applied Statistics: Principles and Examples. London: Chapman and Hall, 1981.
• Models:

  mlgamma

  Maximum Likelihood estimation of parameters of the gamma distribution

Cox, L H

• Cox, L H, Kelly, J P, and Patil, R J, Computational Aspects of Controlled Tabular Adjustements: Algorithms and Analaysis. In Golden, B L, Raghavan, S, and Wasil, E A, Eds, The Next Wave in Computing, Optimization, and Decision Technologies. Springer Verlag, 2005, pp. 45-59.
• Models:

  cta	Controlled Tabular Adjustments

Dahl, H

• Condon, T, Dahl, H, and Devarajan, S, Implementing a Computable General equilibrium Model on GAMS - The Cameroon Model. Tech. rep., The World Bank, 1987.
• Dahl, H, Meeraus, A, and Zenios, S A, Some Financial Optimization Models: Risk Management. In Zenios, S A, Ed, Financial Optimization. Cambridge University Press, New York, NY, 1993.
• Models:

  camcge	Cameroon General Equilibrium Model Using NLP
  immun	Financial Optimization: Risk Management
  worst	Financial Optimization: Risk Management
  meanvar	Financial Optimization: Risk Management
  meanvarx	Financial Optimization: Risk Management
  cmo	Financial Optimization: Financial Engineering
  tba	Financial Optimization: Financial Engineering
  cammcp	Cameroon General Equilibrium Model Using MCP
  cammge	Cameroon General Equilibrium Model Using MPSGE
  camcns	Cameroon General Equilibrium Model Using CNS
  qmeanvar	Financial Optimization: Risk Management using MIQCP
  qmeanvag	Portfolio Modeling with Parallel Solutions

Dammert, A

• Brown, M, Dammert, A, Meeraus, A, and Stoutjesdijk, A J, Worldwide Investment Analysis - The Case of Aluminum. Tech. rep., The World Bank, 1983.
• Dammert, A, and Palaniappan, S, Modeling Investments in the World Copper Sector. The University of Texas Press, Austin, Texas, 1985.
• Models:

  alum	World Aluminum Model
  copper	Modeling Investment in the World Copper Industry

Daniel, R C

• Chlond, M J, Daniel, R C, and Heipcke, S, Fiveleapers a-leaping. http://www.chlond.demon.co.uk/leapers/
• Models:

  fiveleap

  The Five Leaper Tour Problem

Dantzig, G B

• Dantzig, G B, Fulkerson, and Johnson, Solution of a Large-Scale Traveling-Salesman Problem. Operations Research 2 (1954), 393-410.
• Dantzig, G B, Linear Programming and Extensions. Princeton University Press, Princeton, New Jersey, 1963.
• Dantzig, G B, and Wolfe, P, Decomposition principle for linear programs. Operations Research 8 (1960), 101-111.
• Models:

  trnsport	A Transportation Problem
  blend	Blending Problem I
  prodmix	A Production Mix Problem
  whouse	Simple Warehouse Problem
  jobt	On-the-Job Training
  sroute	The Shortest Route Problem
  diet	Stigler's Nutrition Model
  aircraft	Aircraft Allocation Under Uncertain Demand
  sroutex	Shortest Route Algorithm
  mpstrans	MPS file for transportation problem
  senstran	Sensitivity analysis using LOOPS
  transmcp	Transportation Model as Equilibrium Problem
  latin	The Orthogonal Latin-Square Problem
  decomp	Decomposition Principle - Animated
  airsp	Aircraft Allocation
  airsp2	Aircraft Allocation - stochastic optimization with DECIS
  tsp42	TSP solution with subtour elimination
  feasopt1	An Infeasible Transportation Problem analyzed with Cplex option FeasOpt
  trnsgrid	Grid Transportation Problem
  danwolfe	Dantzig Wolfe Decomposition and Grid Computing
  trnssdp	Solving the Transportation LP Problem using SDP
  trnspwl	A Transportation Problem with discretized economies of scale

Day, R E

• Day, R E, and Williams, H P, MAGIC: The design and use of an interactive modeling language for mathematical programming. Tech. rep., Department Business Studies, University of Edinburgh, 1982.
• Models:

  magic

  Magic Power Scheduling Problem

de Wetering, A V

• de Wetering, A V, private communication.
• Models:

  alphamet

  Alphametics - a Mathematical Puzzle

de Wolf, D

• de Wolf, D, and Smeers, Y, The Gas Transmission Problem Solved by and Extension of the Simplex Algorithm. Management Science 46, 11 (2000), 1454-1465.
• Models:

  gastrans

  Gas Transmission Problem - Belgium

Deaven, D M

• Morris, J R, Deaven, D M, and Ho, K M, Genetic Algorithm Energy Minimization for Point Charges on a Sphere. Phys. Rev. B. 53 (1996), R1740-R1743.
• Models:

  elec	Distribution of electrons on a sphere COPS 2.0 #2

Deb, K

• Deb, K, and Goyal, M, Optimizing Engineering Designs Using a Combined Genetic Search. In Back, T, Ed, Proceedings of the Seventh International Conference on Genetic Algorithms. 1997, pp. 521-528.
• Models:

  bearing	Hydrostatic Thrust Bearing Design for a Turbogenerator
  gear	Gear Train Design

den Hertog, D

• Stinstra, E, den Hertog, D, Stehouwer, H P, and Vestjens, A, Constrained Maximin Designs for Computer Experiments. Technometrics (under revision) (2002).
• Models:

  maxmin

  Max Min Location of Points in Unit Square

Devarajan, S

• Condon, T, Dahl, H, and Devarajan, S, Implementing a Computable General equilibrium Model on GAMS - The Cameroon Model. Tech. rep., The World Bank, 1987.
• Models:

  camcge	Cameroon General Equilibrium Model Using NLP
  cammcp	Cameroon General Equilibrium Model Using MCP
  cammge	Cameroon General Equilibrium Model Using MPSGE
  camcns	Cameroon General Equilibrium Model Using CNS

Dirkse, S P

• Dirkse, S P, and Ferris, M C, MCPLIB: A Collection of Nonlinear Mixed Complementarity Problems. Optimization Methods and Software 5 (1995), 319-345.
• Models:

  nash	A non-cooperative game: Nash and Stackelberg versions

Dolan, E D

• Dolan, E D, and More, J J, Benchmarking Optimization Software with COPS. Tech. rep., Mathematics and Computer Science Division, 2000.
• Models:

  polygon	Largest small polygon COPS 2.0 #1
  elec	Distribution of electrons on a sphere COPS 2.0 #2
  chain	Hanging Chain COPS 2.0 #3
  camshape	Shape optimization of a cam COPS 2.0 #4
  pinene	Isometrization of alpha-pinene COPS 2.0 #5
  popdynm	Marine population dynamics COPS 2.0 #6
  flowchan	Flow in a channel COPS 2.0 #7
  robot	Robot arm COPS 2.0 #8
  lnts	Particle steering COPS 2.0 #9
  rocket	Goddard rocket COPS 2.0 #10
  glider	Hang glider COPS 2.0 #11
  gasoil	Catalytic cracking of gas oil COPS 2.0 #12
  methanol	Methanol to hydrocarbons COPS 2.0 #13
  catmix	Catalyst Mixing COPS 2.0 #14
  torsion	Elastic-plastic torsion COPS 2.0 #15
  jbearing	Journal bearing COPS 2.0 #16
  minsurf	Minimal surface with obstacle COPS 2.0 #17

Doufherty, D

• Doufherty, D, and Robbins, A, SED and AWK. O'Reilly & Associates, Sebastobol, 1997.
• Models:

  seders

  ERS Data Manipulations with SED

Drud, A S

• Brooke, A, Drud, A S, and Meeraus, A, Modeling Systems and Nonlinear Programming in a Research Environment. In Ragavan, R, and Rohde, S M, Eds, Computers in Engineering, Vol. III. ACME, 1985.
• Drud, A S, and Rosenborg, A, Dimensioning Water Distribution Networks. Masters thesis, Institute of Mathematical Statistics and Operations Research, Technical University of Denmark, 1973. (in Danish)
• Zenios, S A, Drud, A S, and Mulvey, J, Balancing some large Social Accounting Matrices with Nonlinear Programming. Tech. rep., Department of Civil Engineering, Princeton University, 1986.
• Models:

  water	Design of a Water Distribution Network
  sambal	Social Accounting Matrix Balancing Problem
  waterx	Design of a Water Distribution Network (MINLP)
  qsambal	Social Accounting Matrix Balancing Problem QCP

Dudeney, H E

• Dudeney, H E, Amusements in Mathematics. Dover, New York, 1970.
• Models:

  queens	Maximum Queens Chess Problem
  knights	Maximum Knights Problem

Duloy, J H

• Duloy, J H, and O'Mara, G T, Issues of Efficiency and Interdependence in Water Resource Investments: Lessons from the Indus Basin of Pakistan. Tech. rep., The World Bank, 1984.
• Models:

  iswnm	Indus Surface Water Network Submodule
  indus	Indus Agricultural Model

Dutton, J M

• Aronofsky, J S, Dutton, J M, and Tayyabkhan, M T, Managerial Planning with Linear Programming. John Wiley and Sons, New York, 1978.
• Models:

  marco

  Mini Oil Refining Model

Dyson

• Dyson, Thanassoulis, and Boussofiane, A DEA Tutorial. Warwick Business School
• Models:

  dea	Data Envelopment Analysis - DEA

Edgar, T F

• Edgar, T F, Himmelblau, D M, and Lasdon, L S, Optimization of Chemical Processes. McGraw Hill, Boston, 2001.
• Models:

  gasnet

  Optimal Design of a Gas Transmission Network

Eiger, G

• Ben-Tal, A, Eiger, G, and Gershovitz, V, Global Minimization by Reducing the Duality Gap. Mathematical Programming 63 (1994), 193-212.
• Models:

  pool	Pooling problem

El-Said, M

• Robinson, S, Cattaneo, A, and El-Said, M, Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods. Economic System Research 13, 1 (2001).
• Models:

  cesam

  Cross Entropy SAM Estimation

Elbers, A W

• Panton, D M, and Elbers, A W, Mission Planning for Synthetic Aperture Radar Surveillance. Interfaces 29, 2 (1999), 73-88.
• Models:

  swath

  Mission Planning for Synthetic Aperture Radar Surveillance

Eldersveld, S

• Betts, J, Eldersveld, S, and Huffman, W, Sparse Nonlinear Programming Test Problems. Tech. rep., Boeing Computer Services, 1993.
• Models:

  lnts	Particle steering COPS 2.0 #9

Ellison, E F D

• Ellison, E F D, and Mitra, P, UIMP - User Interface for Mathematical Programming. ACM Transactions on Mathematical Software 8, 2 (1982).
• Models:

  uimp	UIMP - Production Scheduling Problem

Erjavec, J

• Box, G E P, Hunter, W G, MacGregor, J F, and Erjavec, J, Some Problems Associated with the Analysis of Multiresponse Data. Technometrics 15 (1973), 33-51.
• Models:

  pinene

  Isometrization of alpha-pinene COPS 2.0 #5

Esposito, W R

• Floudas, C A, Pardalos, P M, Adjiman, C S, Esposito, W R, Gumus, Z H, Harding, S T, Klepeis, J L, Meyer, C A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization. Kluwer Academic Publishers, 1999.
• Models:

  trimloss	Trim Loss Minimization
  pump	Pump Network Synthesis
  methanol	Methanol to hydrocarbons COPS 2.0 #13
  bchtlbas	Trim Loss Minimization with Heuristic using BCH Facility

Fair, R C

• Fair, R C, Specification, Estimation, and Analysis of Macroeconomic Models. Harvard University Press, Cambridge, Mass, 1984.
• Models:

  hhfair

  Household Optimization Problem by Fair

Feenstra, R

• Markusen, J R, and Feenstra, R, Accounting for Growth with New Inputs. Journal of International Economics (1993).
• Models:

  dmcmge

  Accounting for economic growth with new inputs

Ferris, M C

• Ferris, M C, Meeraus, A, and Rutherford, T F, Computing Wardropian Equilibria in a Complementarity Framework. Optimization Methods and Software 10 (1999), 669-685.
• Dirkse, S P, and Ferris, M C, MCPLIB: A Collection of Nonlinear Mixed Complementarity Problems. Optimization Methods and Software 5 (1995), 319-345.
• Models:

  traffic	Traffic Equilibrium Problem
  nash	A non-cooperative game: Nash and Stackelberg versions

Florios, K

• Florios, K, and Skouras, S, A note on exact computation of max weighted score estimators by mixed integer programming. Tech. rep., National Technical University of Athens and Athens University of Economics and Business, 2007.
• Models:

  mws	Computation of Horowitz’s work-trip mode choice model estimates

Floudas, C A

• Floudas, C A, and Paules IV, G E, A Mixed-Integer Nonlinear Programming Formulation for the Synthesis of Heat Integrated Distillation Sequence. Computers and Chemical Engineering 12, 6 (1988), 531-546.
• Aggarwal, A, and Floudas, C A, Synthesis of General Distillation Sequences: Nonsharp Separation. Computers and Chemical Engineering 14, 6 (1990), 631-653.
• Floudas, C A, Pardalos, P M, Adjiman, C S, Esposito, W R, Gumus, Z H, Harding, S T, Klepeis, J L, Meyer, C A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization. Kluwer Academic Publishers, 1999.
• Floudas, C A, and Pardalos, P M, Eds, Frontiers in Global Optimization. Kluwer Academic Publishers, 2003.
• Models:

  minlphi	Heat Integrated Distillation Sequences
  nonsharp	Synthesis of General Distillation Sequences
  trimloss	Trim Loss Minimization
  pump	Pump Network Synthesis
  nsharpx	Synthesis of General Distillation Sequences
  minlphix	Heat Integrated Distillation Sequences
  methanol	Methanol to hydrocarbons COPS 2.0 #13
  kport	Product Portfolio Optimization
  bchtlbas	Trim Loss Minimization with Heuristic using BCH Facility

Foulds, L R

• Foulds, L R, Haugland, D, and Jornsten, K, A bilinear approach to the pooling problem. Optimization 24 (1992), 165-180.
• Models:

  pool	Pooling problem

Fourer, R

• Fourer, R, Modeling Languages Versus Matrix Generators for Linear Programming. ACM Transaction on Mathematical Software 9, 2 (1983), 143-183.
• Fourer, R, Gay, D M, and Kernighan, B W, AMPL: A Mathematical Programming Language. Scientific Press, Murray Hill, New Jersey, 1987.
• Models:

  robert	Elementary Production and Inventory Model
  ampl	AMPL Sample Problem

Friedman, A

• Friedman, A, Free Boundary Problems in Science and Technology. Notices Amer. Math. Soc. 47 (2000), 854-861.
• Models:

  minsurf

  Minimal surface with obstacle COPS 2.0 #17

Fulkerson

• Dantzig, G B, Fulkerson, and Johnson, Solution of a Large-Scale Traveling-Salesman Problem. Operations Research 2 (1954), 393-410.
• Models:

  tsp42

  TSP solution with subtour elimination

Fullerton Don

• Balard, C L, Fullerton Don, Shoven, J, and Whalley, J, A General Equilibrium Model for Tax Policy Evaluation. University of Chicago Press, 1985.
• Models:

  gemmge

  GEMTAP: A general equilibrium model for tax policy

GAMS Development Corporation

• GAMS Development Corporation, Modeling Tool Box.
• GAMS Development Corporation, Formulation and Language Example.
• Models:

  crazy	Examples of Extended Arithmetic
  pivot	Simple Gaussian Elimination
  gauss	Matrix Inversion with Full Pivoting
  repay	Repayment Factors for Loans
  gamsrep	The GAMS Model Library
  prime	Prime Number Generation
  icut	Integer Cut Example
  calendar	Calendar Function Examples
  gamsutil	Generates some useful files from the Model Library
  gmstest	Test sript for library models
  absmip	Discontinous functions abs() min() max() sign() as MIPs
  gamshtm	HTML generation of model library
  slvtest	Solver combination test
  holiday	US Holiday and Leave Chart
  jdate	Julian date test
  licememo	License Memorandum
  deploy	GAMS Deployment Model
  openpit	Dynamic open pit mining extraction
  gsolver	Compare the actual system with the original solver database
  lrs	Linear Recursive Sequence Optimization Model
  chartdat	Create an example GDX file for the IDE Charting facility
  dplytest	A Deployment Test Model
  cefiles	Compressed Input Files
  encrypt	Input file encyption demo
  version1	How to test for a GAMS version
  schulz	Termination routine to ensure solvers stay with resource limit
  tsp2ltx	TSP tour plotting with LaTeX xy-pic environment
  secure	Secure Work Files - Example 2
  solveopt	Option solveopt explained

Garbiras, M

• Bollapragada, S, Cheng, H, Phillips, M, and Garbiras, M, NBC's Optimization Systems Increase Its Revenues and Productivity. Interfaces 31, 1 (2002).
• Models:

  tvcsched

  Flow Formulation of the ISCI Rotator Problem

Gardner, M

• Gardner, M, The Colossal Book of Mathematics. WV Norton, New York, NY, 2001.
• Models:

  dice	Non-transitive Dice Design
  dicex	Non-transitive Dice Design - Enhanced
  dicegrid	MIP Decomposition and Parallel Grid Submission - DICE Example

Garver, L L

• Garver, L L, Power Scheduling by Integer Programming, Tariff-Rates-Power-Generation-Problem. IEEE Trans. Power Apparatus and Systems 81 (1963), 730-735.
• Models:

  magic

  Magic Power Scheduling Problem

Gasawa, K

• Hosoe, N, Gasawa, K, and Hashimoto, H, Handbook of Computible General Equilibrium Modeling. University of Tokyo Press, Tokyo, Japan, 2004.
• Models:

  hhmax	A Household Maximization Problem
  splcge	A Simple CGE Model
  stdcge	A Standard CGE Model
  lrgcge	A Large Country CGE Model
  twocge	A Two Country CGE Model
  moncge	A Monopoly CGE Model
  quocge	A CGE Model with Quotas
  irscge	A CGE Model with Scale Economy

Gay, D M

• Fourer, R, Gay, D M, and Kernighan, B W, AMPL: A Mathematical Programming Language. Scientific Press, Murray Hill, New Jersey, 1987.
• Gay, D M, AMPL Models.
• Models:

  ampl	AMPL Sample Problem
  polygon	Largest small polygon COPS 2.0 #1

Gdanska, P

• Michna, M, and Gdanska, P, Winding Factor of Electrica Machines.
• Models:

  windfac

  Winding Factor of Electrical Machines

Gershovitz, V

• Ben-Tal, A, Eiger, G, and Gershovitz, V, Global Minimization by Reducing the Duality Gap. Mathematical Programming 63 (1994), 193-212.
• Models:

  pool	Pooling problem

Gill, P E

• Gill, P E, Murray, W, and Saunders, M A, GAMS/SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization.
• Models:

  circle

  Circle Enclosing Points - SNOPT Example

Gilmore, P C

• Gilmore, P C, and Gomory, R E, A Linear Programming Approach to the Cutting Stock Problem, {Part I}. Operations Research 9 (1961), 849--859.
• Gilmore, P C, and Gomory, R E, A Linear Programming Approach to the Cutting Stock Problem, {Part II}. Operations Research 11 (1963), 863--888.
• Models:

  cutstock	Cutting Stock - A Column Generation Approach
  bchstock	Cutting Stock - A Column Generation Approach with BCH

Glenshaw, P

• Bergendorff, H, Glenshaw, P, and Meeraus, A, The Planning of Investment Programs in the Paper Industry. Tech. rep., The World Bank, 1980.
• Models:

  tforss	Antalya Forestry Model - Steady State
  tfordy	Antalya Forestry Model - Dynamic

Glowinski, R

• Glowinski, R, Numerical Methods for Nonlinear Variational Problems. Springer Verlag, 1984.
• Models:

  torsion

  Elastic-plastic torsion COPS 2.0 #15

Goemans M.X.

• Goemans M.X., and Williamson, D P, Improved Approximation Algorithms for Maximum Cut and Satisfiability Problems Using Semidefinite Programming. Journal of the ACM 42 (1995), 1115-1145.
• Models:

  maxcut

  Goemans/Williamson Randomized Approximation Algorithm for MaxCut

Golan, A

• Golan, A, Judge, G, and Miller, D, Maximum Entropy Econometrics. John Wiley and Sons, 1996.
• Models:

  cesam

  Cross Entropy SAM Estimation

Gomory, R E

• Gilmore, P C, and Gomory, R E, A Linear Programming Approach to the Cutting Stock Problem, {Part I}. Operations Research 9 (1961), 849--859.
• Gilmore, P C, and Gomory, R E, A Linear Programming Approach to the Cutting Stock Problem, {Part II}. Operations Research 11 (1963), 863--888.
• Models:

  cutstock	Cutting Stock - A Column Generation Approach
  bchstock	Cutting Stock - A Column Generation Approach with BCH

Goyal, M

• Deb, K, and Goyal, M, Optimizing Engineering Designs Using a Combined Genetic Search. In Back, T, Ed, Proceedings of the Seventh International Conference on Genetic Algorithms. 1997, pp. 521-528.
• Models:

  bearing	Hydrostatic Thrust Bearing Design for a Turbogenerator
  gear	Gear Train Design

Goyal, S K

• Gunasekaran, A, Goyal, S K, Martikainen T, and Yli-Olli, P, Equipment Selection Problems in just-in-time Manufacturing Systems. Journal of the Operational Research Society 44 (1993), 345-353.
• Models:

  jit	Design of Just-in-Time Flowshops

Graham, R L

• Graham, R L, The Largest Small Hexagon. J. Combin. Th. 18 (1975), 165-170.
• Models:

  polygon

  Largest small polygon COPS 2.0 #1

Greening, D

• Wall, T W, Greening, D, and Woolsey, R E D, Solving Complex Chemical Equilibria Using a Geometric-Programming Based Technique. Operations Research 34, 3 (1987).
• Models:

  wall	Chemical Equilibrium Problem
  wallmcp	Chemical Equilibrium Problem as MCP

Groetschel, M

• Borndoerfer, R, Groetschel, M, and Loebel, A, Alcuins Transportation Problems and Integer Programming. In Butzer, P L, Ed, Charlemagne and His Heritage: 1200 Years of Civilization and Science in Europe. Brepols, Belgium, 1998, pp. 379-409.
• Models:

  cross

  Alcuin's River Crossing

Grossmann, I E

• Kocis, G R, and Grossmann, I E, Relaxation Strategy for the Structural Optimization of Process Flow Sheets. Industrial and Engineering Chemical Research 26, 9 (1987), 1869-1880.
• Morari, M, and Grossmann, I E, Eds, Chemical Engineering Optimization Models with GAMS. Computer Aids for Chemical Engineering Corporation, 1991.
• Yee, T F, and Grossmann, I E, Simultaneous Optimization of Models for Heat Integration - Heat Exchanger Network Synthesis. Computers and Chemical Engineering 14, 10 (1990), 1165-1184.
• Kocis, G R, and Grossmann, I E, Global Optimization of Nonconvex MINLP Problems in Process Synthesis. Industrial and Engineering Chemical Research 27 (1988), 1407-1421.
• Raman, R, and Grossmann, I E, Relation between MINLP Modeling and Logical Inverence for Chemical Process Synthesis. Computers and Chemical Engineering 15, 2 (1991), 73-84.
• Viswanathan, J, and Grossmann, I E, A Combined Penalty Function and Outer Approximation Method for MINLP Optimization. Computers and Chemical Engineering 14, 7 (1990), 769-782.
• Kocis, G R, and Grossmann, I E, Computational Experience with DICOPT Solving Minlp Problems in Process Synthesis. Computers and Chemical Engineering 13, 3 (1989), 307-315.
• Westerlund, T, Petterson, F, and Grossmann, I E, Optimization of Pump Configurations as a MINLP Problem. Computers and Chemical Engineering 18, 9 (1994), 845-858.
• Jain, V, and Grossmann, I E, Cyclic Scheduling of Continuous Parallel Units with Decaying Performance. American Institute of Chemical Engineers Journal 44, 7 (1998), 1623-1636.
• Raman, R, and Grossmann, I E, Modeling and Computational Techniques for Logic Based Integer Programming. Computers and Chemical Engineering 18, 7 (1994), 563-578.
• Turkay M., and Grossmann, I E, Logic-Based Algorithms for the Optimal Synthesis of Process Networks. Computers and Chemical Engineering 20, 8 (1996), 959-978.
• Models:

  procsel	Structural Optimization of Process Flowsheets
  synheat	Simultaneous Optimization for Hen Synthesis
  minlphi	Heat Integrated Distillation Sequences
  batchdes	Optimal Design for Chemical Batch Processing
  nonsharp	Synthesis of General Distillation Sequences
  reaction	Logical Inference for Reaction path synthesis
  feedtray	Optimum Feed Plate Location
  hda	Synthesis: Hydrodealkylation of Toluene
  pump	Pump Network Synthesis
  csched	Cyclic Scheduling of Continuous Parallel Units
  minlphix	Heat Integrated Distillation Sequences
  logmip1a	LogMIP User's Manual Example 1a - Job Scheduling
  logmip1b	LogMIP User's Manual Example 1b - Job Scheduling
  logmip1c	LogMIP User's Manual Example 1c - Job Scheduling
  logmip3	LogMIP User's Manual Example 3 - Synthesis of 8 Processes
  logmip4	LogMIP User's Manual Example 4 - Job Shop Scheduling

Gueret, C

• Gueret, C, Prins, C, and Sevaux, M, Applications of Optimization with Xpress-MP, Translated and revised by Susanne Heipcke. Dash Optimization, 2002.
• Models:

  fiveleap

  The Five Leaper Tour Problem

Guignard, M

• Guignard, M, and Rosenwein, M, An Improved Dual-Based Algorthm for the Generalized Assignment Problem. Operations Research 37 (1989), 658-663.
• Guignard, M, Extension to Plateau Convexification Method for Nonconvex Quadratic 0-1 Programs. Tech. rep., The Wharton School, 2008.
• Models:

  gapmin	Lagrangian Relaxation of Assignment Problem
  gqapsdp	SDP Convexifications of the Generalized Quadratic Assignment Problem
  kqkpsdp	SDP Convexifications of the Cardinality constraint Quadratic Knapsack Problem

Gumus, Z H

• Floudas, C A, Pardalos, P M, Adjiman, C S, Esposito, W R, Gumus, Z H, Harding, S T, Klepeis, J L, Meyer, C A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization. Kluwer Academic Publishers, 1999.
• Models:

  trimloss	Trim Loss Minimization
  pump	Pump Network Synthesis
  methanol	Methanol to hydrocarbons COPS 2.0 #13
  bchtlbas	Trim Loss Minimization with Heuristic using BCH Facility

Gunasekaran, A

• Gunasekaran, A, Goyal, S K, Martikainen T, and Yli-Olli, P, Equipment Selection Problems in just-in-time Manufacturing Systems. Journal of the Operational Research Society 44 (1993), 345-353.
• Models:

  jit	Design of Just-in-Time Flowshops

Gutierrez, R A

• Gutierrez, R A, and Sahinidis, N, A Lagrangian Approach to the Pooling Problem. Interantional J Production Research 34 (1996), 797-818.
• Models:

  jit	Design of Just-in-Time Flowshops

H. Heitsch

• H. Heitsch, W. Roemisch, and C. Strugarek, Stability of Multistage Stochastic Programs. SIAM Journal on Optimization 17 (2006), 511-525.
• Models:

  srpchase

  Scenario Tree Construction Example

Hamada, K

• Hashimoto, H, Hamada, K, and Hosoe, N, Contract Theory: A Programming-Model Approach. Tech. rep., National Graduate Institute for Policy Studies, 2011.
• Models:

  ps2_f_s	Parts Supply Problem w/ 2 Types w/o and w/ Asymmetric Information
  ps2_f	Parts Supply Problem w/ 2 Types w/o Asymmetric Information
  ps2_f_eff	Parts Supply Problem w/ Efficient Type w/o Asymmetric Information
  ps2_f_inf	Parts Supply Problem w/ Inefficient Type w/o Asymmetric Information
  ps2_s	Parts Supply Problem w/ 2 Types w/ Asymmetric Information
  ps3_f	Parts Supply Problem w/ 3 Types w/o Asymmetric Information
  ps3_s	Parts Supply Problem w/ 3 Types w/ Asymmetric Information
  ps3_s_gic	Parts Supply Problem w/ 3 Types w/ Global Incentive Comp. Const.
  ps3_s_mn	Parts Supply Problem w/ 3 Types w/ Monotonicity Constraint
  ps3_s_scp	Parts Supply Problem w/ 3 Types w/o & w/ SCP
  ps10_s	Parts Supply Problem w/ 10 Types & w/ Asymmetric Information
  ps10_s_mn	Parts Supply Problem w/ 10 Types w/ Random p(i)

Hansen, P

• Audet, C, Brimberg, J, Hansen, P, and Mladenovic, N, Pooling problem: Alternate formulations and solution methods. Tech. rep., Les Cashiers Du GERAD G-2000-23, Montreal, 2000.
• Brimberg, J, Hansen, P, Lih, K, Mladenovic, N, and Breton, M, An Oil Pipeline Design Problem. Operations Research 51 (2) (2003), 228-239.
• Models:

  pool	Pooling problem
  bchoil	Oil Pipeline Design Problem using BCH Facility
  ccoil	Oil Pipeline Design Problem using concurrent MIP solves

Hansen, T

• Scarf, H, and Hansen, T, The Computation of Economic Equilibria. Yale University Press, 1973.
• Models:

  scarfmcp	Scarf's Activity Analysis Example
  hansmcp	Hansen's Activity Analysis Example - MCP
  hansmge	Hansen's Activity Analysis Example - MPSGE
  scarfmge	Tax distortions in a small activity analysis model

Hanson, K

• Robinson, S, Kilkenny, M, and Hanson, K, The USDA/ERS Computable General Equilibrium (CGE) Model of the United States. Tech. rep., USDA/ERS, 1990.
• Models:

  ers82mcp

  USDA-ERS CGE Model of the US

Harding, S T

• Floudas, C A, Pardalos, P M, Adjiman, C S, Esposito, W R, Gumus, Z H, Harding, S T, Klepeis, J L, Meyer, C A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization. Kluwer Academic Publishers, 1999.
• Models:

  trimloss	Trim Loss Minimization
  pump	Pump Network Synthesis
  methanol	Methanol to hydrocarbons COPS 2.0 #13
  bchtlbas	Trim Loss Minimization with Heuristic using BCH Facility

Harjunkoski, I

• Harjunkoski, I, Application of MINLP Methods on a Scheduling Problem in the Paper Converting Industry. PhD thesis, Abo Akademi University, 1997.
• Harjunkoski, I, Westerlund, T, Porn, R, and Skrifvars, H, Different Transformations for Solving Non-Convex Trim Loss Problems by MINLP. European Journal of Operational Research 105, 3 (1998), 594-603.
• Models:

  trimloss	Trim Loss Minimization
  bchtlbas	Trim Loss Minimization with Heuristic using BCH Facility

Harker, P T

• Harker, P T, Alternative Models of Spatial Competition. Operations Research 34, 3 (1986), 410-425.
• Harker, P T, A Variational Inequality Approach for the Determination of Oligopolistic Market Equilibrium. Mathematical Programming 30 (1984), 105-111.
• Harker, P T, Accelerating the Convergence of the Diagonalization and Projection Algorithms for Finite--Dimensional Variational Inequalities. Math. Prog. 41 (1988), 29-59.
• Models:

  harker	Models of Spatial Competition
  harkmcp	Models of Spatial Competition in MCP Form
  oligomcp	Oligopolistic Competition - Examples from MP
  nash	A non-cooperative game: Nash and Stackelberg versions

Hashimoto, H

• Hosoe, N, Gasawa, K, and Hashimoto, H, Handbook of Computible General Equilibrium Modeling. University of Tokyo Press, Tokyo, Japan, 2004.
• Hashimoto, H, Hamada, K, and Hosoe, N, Contract Theory: A Programming-Model Approach. Tech. rep., National Graduate Institute for Policy Studies, 2011.
• Models:

  hhmax	A Household Maximization Problem
  splcge	A Simple CGE Model
  stdcge	A Standard CGE Model
  lrgcge	A Large Country CGE Model
  twocge	A Two Country CGE Model
  moncge	A Monopoly CGE Model
  quocge	A CGE Model with Quotas
  irscge	A CGE Model with Scale Economy
  ps2_f_s	Parts Supply Problem w/ 2 Types w/o and w/ Asymmetric Information
  ps2_f	Parts Supply Problem w/ 2 Types w/o Asymmetric Information
  ps2_f_eff	Parts Supply Problem w/ Efficient Type w/o Asymmetric Information
  ps2_f_inf	Parts Supply Problem w/ Inefficient Type w/o Asymmetric Information
  ps2_s	Parts Supply Problem w/ 2 Types w/ Asymmetric Information
  ps3_f	Parts Supply Problem w/ 3 Types w/o Asymmetric Information
  ps3_s	Parts Supply Problem w/ 3 Types w/ Asymmetric Information
  ps3_s_gic	Parts Supply Problem w/ 3 Types w/ Global Incentive Comp. Const.
  ps3_s_mn	Parts Supply Problem w/ 3 Types w/ Monotonicity Constraint
  ps3_s_scp	Parts Supply Problem w/ 3 Types w/o & w/ SCP
  ps10_s	Parts Supply Problem w/ 10 Types & w/ Asymmetric Information
  ps10_s_mn	Parts Supply Problem w/ 10 Types w/ Random p(i)

Haugland, D

• Foulds, L R, Haugland, D, and Jornsten, K, A bilinear approach to the pooling problem. Optimization 24 (1992), 165-180.
• Models:

  pool	Pooling problem

Haverly, C A

• Haverly, C A, Studies of the Behavior of Recursion for the Pooling Problem. ACM SIGMAP Bull 25 (1978), 19-28.
• Haverly, C A, Behaviour of recursion model - More studies. ACM SIGMAP Bulletin 26 (1979), 22-28.
• Models:

  haverly	Haverly's pooling problem example
  pool	Pooling problem

Heipcke, S

• Chlond, M J, Daniel, R C, and Heipcke, S, Fiveleapers a-leaping. http://www.chlond.demon.co.uk/leapers/
• Models:

  fiveleap

  The Five Leaper Tour Problem

Hieu, P S

• Hieu, P S, Policy option to promote the wood-processing industry in northern Vietnam, forth coming. PhD thesis, The University of Queensland, Australia, 2011.
• Models:

  spatequ

  Spatial Equilibrium

Hillier, F S

• Hillier, F S, and Lieberman, G J, Introduction to Operations Research. Holden-Day, San Francisco, 1967.
• Models:

  mst	Minimum Spanning Tree

Himmelblau, D M

• Edgar, T F, Himmelblau, D M, and Lasdon, L S, Optimization of Chemical Processes. McGraw Hill, Boston, 2001.
• Himmelblau, D M, Applied Nonlinear Programming. Mc Graw Hill, New York, 1972.
• Models:

  himmel16	Area of Hexagon Test Problem
  himmel11	Himmelblau Test Problem Number 11
  gasnet	Optimal Design of a Gas Transmission Network

Ho, K M

• Morris, J R, Deaven, D M, and Ho, K M, Genetic Algorithm Energy Minimization for Point Charges on a Sphere. Phys. Rev. B. 53 (1996), R1740-R1743.
• Models:

  elec	Distribution of electrons on a sphere COPS 2.0 #2

Ho, Y

• Bryson, A E, and Ho, Y, Applied Optimal Control: Optimization, Estimation, and Control. John Wiley and Sons, 1975.
• Models:

  lnts	Particle steering COPS 2.0 #9

Hock, W

• Hock, W, and Schittkowski, K, Test Examples for Nonlinear Programming Codes, Lecture Notes in Economics and Mathematical Systems. Springer Verlag, 1981.
• Models:

  hs62	Hock - Schittkowski Problem 62

Horowitz, J L

• Horowitz, J L, Semiparametric estimation of a work-trip mode choice model. Journal of Econometrics 58, 1-2 (1993), 49-70.
• Models:

  mws	Computation of Horowitz’s work-trip mode choice model estimates

Hosoe, N

• Hosoe, N, Gasawa, K, and Hashimoto, H, Handbook of Computible General Equilibrium Modeling. University of Tokyo Press, Tokyo, Japan, 2004.
• Hashimoto, H, Hamada, K, and Hosoe, N, Contract Theory: A Programming-Model Approach. Tech. rep., National Graduate Institute for Policy Studies, 2011.
• Models:

  hhmax	A Household Maximization Problem
  splcge	A Simple CGE Model
  stdcge	A Standard CGE Model
  lrgcge	A Large Country CGE Model
  twocge	A Two Country CGE Model
  moncge	A Monopoly CGE Model
  quocge	A CGE Model with Quotas
  irscge	A CGE Model with Scale Economy
  ps2_f_s	Parts Supply Problem w/ 2 Types w/o and w/ Asymmetric Information
  ps2_f	Parts Supply Problem w/ 2 Types w/o Asymmetric Information
  ps2_f_eff	Parts Supply Problem w/ Efficient Type w/o Asymmetric Information
  ps2_f_inf	Parts Supply Problem w/ Inefficient Type w/o Asymmetric Information
  ps2_s	Parts Supply Problem w/ 2 Types w/ Asymmetric Information
  ps3_f	Parts Supply Problem w/ 3 Types w/o Asymmetric Information
  ps3_s	Parts Supply Problem w/ 3 Types w/ Asymmetric Information
  ps3_s_gic	Parts Supply Problem w/ 3 Types w/ Global Incentive Comp. Const.
  ps3_s_mn	Parts Supply Problem w/ 3 Types w/ Monotonicity Constraint
  ps3_s_scp	Parts Supply Problem w/ 3 Types w/o & w/ SCP
  ps10_s	Parts Supply Problem w/ 10 Types & w/ Asymmetric Information
  ps10_s_mn	Parts Supply Problem w/ 10 Types w/ Random p(i)

House, B

• House, B, Internet Communications.
• Models:

  pentium

  Pentium Error Test

Huffman, W

• Betts, J, Eldersveld, S, and Huffman, W, Sparse Nonlinear Programming Test Problems. Tech. rep., Boeing Computer Services, 1993.
• Models:

  lnts	Particle steering COPS 2.0 #9

Hunter, W G

• Box, G E P, Hunter, W G, MacGregor, J F, and Erjavec, J, Some Problems Associated with the Analysis of Multiresponse Data. Technometrics 15 (1973), 33-51.
• Models:

  pinene

  Isometrization of alpha-pinene COPS 2.0 #5

Husain, T

• Husain, T, and Inman, R, A Model for Estimating the Effects of Credit pricing on Farm level employment and income distribution. Tech. rep., The World Bank, 1977.
• Models:

  sarf	Farm Credit and Income Distribution Model

IBM

• IBM, MPSX/370 Primer. Tech. rep., IBM, 1979.
• Models:

  ibm1	Aluminum Alloy Smelter Sample Problem

ILOG

• ILOG, CPLEX 11 User's Manual, 2007.
• Models:

  solnpool

  Cplex Solution Pool for a Simple Facility Location Problem

IMSL Inc

• IMSL Inc, LP/PROTRAN - A Problem Solving System for Linear Programming . Tech. rep., IMSL, 1984.
• Models:

  imsl	Piecewise Linear Approximation

Infanger, G

• Infanger, G, Planning Under Uncertainty - Solving Large-Scale Stochastic Linear Programs.
• Models:

  apl1p	Stochastic Programming Example for DECIS
  apl1pca	Stochastic Programming Example for DECIS

Inman, R

• Husain, T, and Inman, R, A Model for Estimating the Effects of Credit pricing on Farm level employment and income distribution. Tech. rep., The World Bank, 1977.
• Models:

  sarf	Farm Credit and Income Distribution Model

Itoh, H

• Itoh, H, A Course in Contract Theory. Yuhikaku, Tokyo, 2003.
• Models:

  ps2_f_s	Parts Supply Problem w/ 2 Types w/o and w/ Asymmetric Information
  ps2_f	Parts Supply Problem w/ 2 Types w/o Asymmetric Information
  ps2_f_eff	Parts Supply Problem w/ Efficient Type w/o Asymmetric Information
  ps2_f_inf	Parts Supply Problem w/ Inefficient Type w/o Asymmetric Information
  ps2_s	Parts Supply Problem w/ 2 Types w/ Asymmetric Information
  ps3_f	Parts Supply Problem w/ 3 Types w/o Asymmetric Information
  ps3_s	Parts Supply Problem w/ 3 Types w/ Asymmetric Information
  ps3_s_gic	Parts Supply Problem w/ 3 Types w/ Global Incentive Comp. Const.
  ps3_s_mn	Parts Supply Problem w/ 3 Types w/ Monotonicity Constraint
  ps3_s_scp	Parts Supply Problem w/ 3 Types w/o & w/ SCP
  ps10_s	Parts Supply Problem w/ 10 Types & w/ Asymmetric Information
  ps10_s_mn	Parts Supply Problem w/ 10 Types w/ Random p(i)

Jain, V

• Jain, V, and Grossmann, I E, Cyclic Scheduling of Continuous Parallel Units with Decaying Performance. American Institute of Chemical Engineers Journal 44, 7 (1998), 1623-1636.
• Models:

  csched

  Cyclic Scheduling of Continuous Parallel Units

Johnson

• Dantzig, G B, Fulkerson, and Johnson, Solution of a Large-Scale Traveling-Salesman Problem. Operations Research 2 (1954), 393-410.
• Models:

  tsp42

  TSP solution with subtour elimination

Jornsten, K

• Foulds, L R, Haugland, D, and Jornsten, K, A bilinear approach to the pooling problem. Optimization 24 (1992), 165-180.
• Models:

  pool	Pooling problem

Judge, G

• Golan, A, Judge, G, and Miller, D, Maximum Entropy Econometrics. John Wiley and Sons, 1996.
• Models:

  cesam

  Cross Entropy SAM Estimation

Judge, G G

• Takayama, T, and Judge, G G, Spatial Equilibrium and Quadratic Programming. Journal of Farm Economics 46, 1 (1964), 67-93.
• Models:

  spatequ

  Spatial Equilibrium

Juenger, M

• Juenger, M, Reinelt, G, and Thienel, S, Optimal and Probably Good Solutions for the Symmetric Traveling Salesman Problem. Zeitschrift fuer Operations Research 40 (1994), 183--217.
• Models:

  awktsp

  Traveling Salesman Problem Instance prepared with AWK

Kall, P

• Kall, P, and Wallace, S W, Stochastic Programming. John Wiley and Sons, Chichester, England, 1994.
• Models:

  kand	Stochastic Programming
  srkandw	Stochastic Programming Scenario Reduction

Kallrath, J

• Kallrath, J, Exact Computation of Global Minima of a Nonconvex Portfolio Optimization Problem. In Floudas, C A, and Pardalos, P M, Eds, Frontiers in Global Optimization. Kluwer Academic Publishers, 2003.
• Rebennack, S, Kallrath, J, and Pardalos, P M, Energy Portfolio Optimization for Electric Utilities: Case Study for Germany. In Bjorndal, E, Bjorndal, M, Pardalos, P M, and Ronnqvist, M, Eds, Energy, Natural Resources and Environmental Economics. Springer, 2010, pp. 221-246.
• Kallrath, J, Combined Strategic Design and Operative Planning in the Process Industry, 2009. Submitted to Computers \& Chemical Engineering
• Rebennack, S, Kallrath, J, and Pardalos, P M, Optimal Storage Design for a Multi-Product Plant: A Non-Convex MINLP Formulation. Tech. rep., University of Florida, 2009. Submitted to Computers and Chemical Engineering
• Models:

  kport	Product Portfolio Optimization
  poutil	Portfolio Optimization for Electric Utilities
  bilinear	Convexification of bilinear term binary times x
  tanksize	Tank Size Design Problem

Kalvelagen, E

• Kalvelagen, E, Model Building with GAMS. forthcoming
• Models:

  alphamet	Alphametics - a Mathematical Puzzle
  qp1	Standard QP Model
  qp2	Standard QP Model - symmetry exploitations
  qp3	Standard QP Model - intermediate variables
  qp4	Standard QP Model - no covariance matrix
  qp5	Standard QP Model - linear approximation
  tsp1	Traveling Salesman Problem - One
  tsp2	Traveling Salesman Problem - Two
  tsp3	Traveling Salesman Problem - Three
  tsp4	Traveling Salesman Problem - Four
  qp6	Standard QP Model - LCP formulation of QP4
  qp1x	Standard QP Model with GDX data input
  qp7	Standard QP Model - conic programming formulation
  qcp1	Standard QP Model QCP

Kamiya, K

• Kamiya, K, Computation of Equilibria with Increasing Returns to Scale. Tech. rep., Faculty of Economics, Osaka University, ?.
• Models:

  harmge

  Increasing returns with average cost pricing

Karisch, S E

• Burkard, R E, Karisch, S E, and Rendl, F, QAPLIB - A Quadratic Assignment Problem Library. Journal of Global Optimization 10 (1997), 391--403.
• Models:

  awkqap

  Input file generation with AWK for the Quadratic Assignment Problem

Kasnagoklu, H

• Le-Si, V, Scandizzo, P L, and Kasnagoklu, H, Turkey Agricultural Sector Model. Tech. rep., The World Bank, 1982.
• Models:

  turkey

  Turkey Agricultural Model with Risk

Kehoe, T

• Kehoe, T, A Numerical Investigation of the Multiplicity of Equilibria. Mathematical Programming Study 23 (1985), 240-258.
• Models:

  kehomge

  Multiple equilibria in a simple GE model

Kelly, J P

• Cox, L H, Kelly, J P, and Patil, R J, Computational Aspects of Controlled Tabular Adjustements: Algorithms and Analaysis. In Golden, B L, Raghavan, S, and Wasil, E A, Eds, The Next Wave in Computing, Optimization, and Decision Technologies. Springer Verlag, 2005, pp. 45-59.
• Models:

  cta	Controlled Tabular Adjustments

Kendrick, D

• Kendrick, D, Meeraus, A, and Alatorre, J, The Planning of Investment Programs in the Steel Industry. The Johns Hopkins University Press, Baltimore and London, 1984.
• Kendrick, D, Meeraus, A, and Suh, J S, Oil Refinery Modeling with the GAMS language. Tech. rep., Center of Energy Studies, University of Texas, 1981.
• Kendrick, D, Chapter 3: A Relational Database of the US Economy. In Kindleberger, C P, and di Tella, G, Eds, Economics in the Long View, Essays in the Honor of W W Rostow. Macmillan, London, 1982.
• Kendrick, D, Style in Multisector Modeling. In Hallet, A J H, Ed, Applied Decision Analysis and Economic Behavior. Kluwer and Nijhoff, Boston and The Hague, 1984.
• Kendrick, D, and Taylor, L, Numerical methods and Nonlinear Optimizing models for Economic Planning. In Chenery, H B, Ed, Studies of Development Planning. Harvard University Press, 1971.
• Kendrick, D, Caution and Probing in a Macroeconomic Model. Journal of Economic Dynamics and Control 4, 2 (1982).
• Brooke, A, Kendrick, D, and Meeraus, A, GAMS: A User's Guide. The Scientific Press, Redwood City, California, 1988.
• Models:

  mexss	Mexico Steel - Small Static
  mexsd	Mexico Steel - Small Dynamic
  mexls	Mexico Steel - Large Static
  marco	Mini Oil Refining Model
  rdata	Sample Database of the US Economy
  orani	A Miniature Version of Orani 78
  chakra	Optimal Growth Model
  abel	Linear Quadratic Control Problem
  great	Great Circle Distances
  qabel	Linear Quadratic Control Problem

Kennington, L

• Clark, R H, Kennington, L, Meyer, R R, and Ramamurti, M, Generalized Networks: Parallel Algorithms and an Empirical Analysis. ORSA Journal on Computing 4, 2 (1992), 132-145.
• Models:

  netgen

  Min Cost Flow with an Instance generated by NETGEN

Kernighan, B W

• Fourer, R, Gay, D M, and Kernighan, B W, AMPL: A Mathematical Programming Language. Scientific Press, Murray Hill, New Jersey, 1987.
• Models:

  ampl	AMPL Sample Problem

Kilkenny, M

• Robinson, S, Kilkenny, M, and Hanson, K, The USDA/ERS Computable General Equilibrium (CGE) Model of the United States. Tech. rep., USDA/ERS, 1990.
• Models:

  ers82mcp

  USDA-ERS CGE Model of the US

King, A J

• King, A J, Stochastic Programming Problems: Examples from the Literature. In Ermoliev, Y, and Wets, R J, Eds, Numerical Techniques for Stochastic Optimization Problems. Springer Verlag, 1988, pp. 543-567.
• Models:

  prodsp	Stochastic Programming Example
  prodsp2	Stochastic Programming Example - reformulated for DECIS

Klepeis, J L

• Floudas, C A, Pardalos, P M, Adjiman, C S, Esposito, W R, Gumus, Z H, Harding, S T, Klepeis, J L, Meyer, C A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization. Kluwer Academic Publishers, 1999.
• Models:

  trimloss	Trim Loss Minimization
  pump	Pump Network Synthesis
  methanol	Methanol to hydrocarbons COPS 2.0 #13
  bchtlbas	Trim Loss Minimization with Heuristic using BCH Facility

Klingman, D

• Klingman, D, Napier, A, and Stutz, J, NETGEN: A program for generating large scale capacitated assignment, transportation, and minimum cost flow networks. Management Science 20 (1974), 814-820.
• Models:

  netgen

  Min Cost Flow with an Instance generated by NETGEN

Kocis, G R

• Kocis, G R, and Grossmann, I E, Relaxation Strategy for the Structural Optimization of Process Flow Sheets. Industrial and Engineering Chemical Research 26, 9 (1987), 1869-1880.
• Kocis, G R, and Grossmann, I E, Global Optimization of Nonconvex MINLP Problems in Process Synthesis. Industrial and Engineering Chemical Research 27 (1988), 1407-1421.
• Kocis, G R, and Grossmann, I E, Computational Experience with DICOPT Solving Minlp Problems in Process Synthesis. Computers and Chemical Engineering 13, 3 (1989), 307-315.
• Models:

  procsel	Structural Optimization of Process Flowsheets
  batchdes	Optimal Design for Chemical Batch Processing
  hda	Synthesis: Hydrodealkylation of Toluene

Konno, H

• Konno, H, and Kuno, T, Linear multiplicative programming. Mathematical Programming 56 (1992), 51-64.
• Models:

  lmp1	Linear Multiplicative Model - Type 1

Kotz, J

• Kotz, J, and Balakrishnan, N, Continuous Univariate Distributions, Volumes I and II, 2nd Ed.. John Wiley and Sons, 1994.
• Models:

  mlbeta

  Fitting of beta distribution through maximum likelihood

Kreuzer, P

• Bussieck, M R, Kreuzer, P, and Zimmermann, U T, Optimal Lines for Railway Systems. European Journal of Operation Research 96, 1 (1996), 54-63.
• Models:

  lop	Line Optimization

Kucherenko, S

• Kucherenko, S, Belotti, P, Liberti, L, and Maculan, N, New formulations for the Kissing Number Problem. Tech. rep., LIX Ecole Polytechnique, Palaiseau F-91128, France, 2006.
• Models:

  knp	Kissing Number Problem using Variable Neighborhood Search

Kuijlaars, A

• Saff, E B, and Kuijlaars, A, Distributing Many Points on the Sphere. Math. Intelligencer 19 (1997), 5-11.
• Models:

  elec	Distribution of electrons on a sphere COPS 2.0 #2

Kuno, T

• Konno, H, and Kuno, T, Linear multiplicative programming. Mathematical Programming 56 (1992), 51-64.
• Models:

  lmp1	Linear Multiplicative Model - Type 1

Kutcher, G P

• Kutcher, G P, The Agro-Economic Model, Master Plan for Water Resources Development. Tech. rep., UNDP-EGY-73/024, 1980.
• Kutcher, G P, and Scandizzo, P L, The Agricultural Economy of Northeast Brazil. The Johns Hopkins University Press, Baltimore and London, 1981.
• Kutcher, G P, Meeraus, A, and O'Mara, G T, Agriculture Sector and Policy Models. The World Bank, 1988.
• Ahmad, M, and Kutcher, G P, Irrigation Planning with Environmental Considerations - A Case Study of Pakistans's Indus Basin. Tech. rep., The World Bank, 1992.
• Models:

  egypt	Egypt Agricultural Model
  nebrazil	North-East Brazil Regional Agricultural Model
  agreste	Agricultural Farm Level Model of NE Brazil
  demo1	Simple Farm Level Model
  demo7	Nonlinear Simple Agricultural Sector Model
  indus89	Indus Basin Water Resource Model
  qdemo7	Nonlinear Simple Agricultural Sector Model QCP

Laguna, M

• Laguna, M, Applying Robust Optimization to Capacity Expansion of One Location in Telecommunications with Demand Uncertainty. Management Science 44, 11 (1998), 101-110.
• Models:

  rotdk

  Robust Optimization

Lasdon, L S

• Edgar, T F, Himmelblau, D M, and Lasdon, L S, Optimization of Chemical Processes. McGraw Hill, Boston, 2001.
• Models:

  gasnet

  Optimal Design of a Gas Transmission Network

Lawler, E L

• Lawler, E L, Lenstra, J K, Rinnoy Kan, A H G, and Shmoys, D B, Eds, The Traveling Salesman Problem, A Guided Tour of Combinatorial Optimization. Wiley, 1985.
• Models:

  tsp3	Traveling Salesman Problem - Three

Le, Q H

• Wright, S I, Le, Q H, Schoen, D J, and Bureau T E, Population Dynamics of an Ac-like Transposable Element in Self- and Cross-Pollinating Arabidopsis. Genetics 158 (2001), 1279-1288.
• Models:

  herves

  Herves (Transposable Element) Activity Calculations

Le-Si, V

• Le-Si, V, Scandizzo, P L, and Kasnagoklu, H, Turkey Agricultural Sector Model. Tech. rep., The World Bank, 1982.
• Models:

  turkey

  Turkey Agricultural Model with Risk

Lenstra, J K

• Lawler, E L, Lenstra, J K, Rinnoy Kan, A H G, and Shmoys, D B, Eds, The Traveling Salesman Problem, A Guided Tour of Combinatorial Optimization. Wiley, 1985.
• Models:

  tsp3	Traveling Salesman Problem - Three

Lewis, J

• Lewis, J, and Robinson, S, Chapter 11. In Chenery, H B, Robinson, S, and Syrquin, M, Eds, Industrialization and Growth: A Comparative Study. Oxford University Press, London, 1986.
• Models:

  korcge	General Equilibrium Model for Korea - NLP
  kormcp	General Equilibrium Model for Korea - MCP
  korcns	General Equilibrium Model for Korea - CNS

Liberti, L

• Kucherenko, S, Belotti, P, Liberti, L, and Maculan, N, New formulations for the Kissing Number Problem. Tech. rep., LIX Ecole Polytechnique, Palaiseau F-91128, France, 2006.
• Models:

  knp	Kissing Number Problem using Variable Neighborhood Search

Lieberman, G J

• Hillier, F S, and Lieberman, G J, Introduction to Operations Research. Holden-Day, San Francisco, 1967.
• Models:

  mst	Minimum Spanning Tree

Lih, K

• Brimberg, J, Hansen, P, Lih, K, Mladenovic, N, and Breton, M, An Oil Pipeline Design Problem. Operations Research 51 (2) (2003), 228-239.
• Models:

  bchoil	Oil Pipeline Design Problem using BCH Facility
  ccoil	Oil Pipeline Design Problem using concurrent MIP solves

Linderoth, J

• Linderoth, J, IE418 Lecture Notes - Lecture #19, 2003. Lehigh University, http://www.lehigh.edu/~jtl3/teaching/ie418/lecture19.pdf
• Models:

  bchmknap	Multi knapsack problem using BCH Facility
  bchtsp	Traveling Salesman Problem Instance with BCH

Locke, M

• Berna, T, Locke, M, and Westerberg, A W, A New Approach to Optimization of Chemical Processes. American Institute of Chemical Engineers Journal 26, 1 (1980), 37-43.
• Models:

  alkyl

  Simplified Alkylation Process

Loebel, A

• Borndoerfer, R, Groetschel, M, and Loebel, A, Alcuins Transportation Problems and Integer Programming. In Butzer, P L, Ed, Charlemagne and His Heritage: 1200 Years of Civilization and Science in Europe. Brepols, Belgium, 1998, pp. 379-409.
• Models:

  cross

  Alcuin's River Crossing

Lopez de Silanes, F

• Lopez de Silanes, F, Markusen, J R, and Rutherford, T F, Complementarity and Increasing Returns in Intermediate Inputs: A Theoretical and Applied General-Equilibrium Analysis. Journal of Development Economics 45 (1994), 133-151.
• Models:

  cirimge

  Increasing returns in intermediate inputs

Louveaux, F V

• Louveaux, F V, and Smeers, Y, Optimal Investments for Electricity Generation: A Stochastic Model and a Test Problem. In Ermoliev, Y, and Wets, R J, Eds, Numerical Techniques for Stochastic Optimization Problems. Springer Verlag, 1988, pp. 445-452.
• Birge, J R, and Louveaux, F V, Introduction to Stochastic Programming. Springer, 1997.
• Models:

  lands	Optimal Investment
  farm	The Farmer's Problem formulated for DECIS
  clearlak	Scenario Reduction: ClearLake exercise

Lu, Z

• Meneses, C N, Lu, Z, Oliveira, C A S, and Pardalos, P M, Optimal Solutions for the Closest-String Problem via Integer Programming. INFORMS Journal on Computing 16, 4 (2004), 419-429.
• Models:

  csp	Closest String Problem

Macewan, A

• Chenery, H B, and Macewan, A, Chapter 9: Optimal Patterns of Growth and Aid. In Chenery, H B, Ed, Structural Change and Development Policy. Oxford University Press, New York and Oxford, 1979.
• Models:

  pak	Optimal Patterns of Growth and Aid

MacGregor, J F

• Box, G E P, Hunter, W G, MacGregor, J F, and Erjavec, J, Some Problems Associated with the Analysis of Multiresponse Data. Technometrics 15 (1973), 33-51.
• Models:

  pinene

  Isometrization of alpha-pinene COPS 2.0 #5

Mackinnon, J

• Mackinnon, J, A Technique for the Solution of Spatial Equilibrium Models. Journal of Regional Science 16, 3 (1976), 293-307.
• Rowse, Mackinnon, J, Samuelson, and von Thunen, General Equilibrium Variant of the von Thunen Model.
• Models:

  vonthmcp	General Equilibrium Variant of the von Thunen Model
  vonthmge	A General Equilibrium Version of the von Thunen Model

Maculan, N

• Kucherenko, S, Belotti, P, Liberti, L, and Maculan, N, New formulations for the Kissing Number Problem. Tech. rep., LIX Ecole Polytechnique, Palaiseau F-91128, France, 2006.
• Models:

  knp	Kissing Number Problem using Variable Neighborhood Search

Mallik, S

• Bollapragada, S, Bussieck, M R, and Mallik, S, Scheduling Commercial Videotapes in Broadcast Television, 2003.
• Models:

  tvcsched

  Flow Formulation of the ISCI Rotator Problem

Mangasarian, O L

• Mangasarian, O L, Nonlinear Programming. McGraw Hill, New York, 1973.
• Models:

  pollut

  Industrial Pollution Control

Manne, A S

• Manne, A S, Nelson, C R, So, K C, and Weyant, J P, CPM: A Contingency Planning Model of the International Oil Market, International Energy Program Report. Tech. rep., Stanford University, 1982.
• Manne, A S, and Beltramo, M A, GTM: An International Gas Trade Model ,International Energy Program Report. Stanford University, 1984.
• Manne, A S, ETA-MACRO: A Model of Energy-Economy Interactions. In Hitch, C J, Ed, Modeling Energy-Economy Interactions: Five Approaches. Resources for the Future, Washington, DC, 1977.
• Manne, A S, GAMS/MINOS: Three examples. Tech. rep., Department of Operations Research, Stanford University, 1986.
• Manne, A S, and Richels, R G, Buying Greenhouse Insurance: The Economic Cost of Dioxide Emission Limits. MIT Press Cambridge, 1992.
• Manne, A S, and Preckel, P V, North-South Trade, Capital Flows and Economic Growth: An Almost Neoclassical Model. In Syrquin, M, Ed, Economic Structure and Performance: Essays in Honor of Hollis B. Chenery. Academic Press, 1984.
• Manne, A S, and Markowitz, H M, Eds, Studies in Process Analysis. John Wiley and Sons, New York and London, 1963.
• Goreaux, L M, and Manne, A S, Eds, Multi-level Planning: Case Studies in Mexico. North-Holland, Amsterdam, 1973.
• Models:

  vietman	Vietoriscz Manne Fertilizer Model 1961
  dinam	DINAMICO A Dynamic Multi-Sectoral Multi-Skill Model
  srcpm	Single-Region Contingency Planning Model
  gtm	International Gas Trade Model
  etamac	ETA-MACRO Energy Model for the USA
  alan	A Quadratic Programming Model for Portfolio Analysis
  mr5mcp	Multi-Region Growth Model Based on Global 2100
  etamge	ETA-MACRO Energy Model for the USA - MPSGE Format
  nsmge	North-South trade and capital flows
  qalan	A Quadratic Programming Model for Portfolio Analysis QCP

Maria, G

• Maria, G, An Adaptive Strategy for Solving Kinetic Model Concomitant Estimation - Reduction Problems. Can. J. Chem. Eng. 67 (1989), 825.
• Models:

  methanol

  Methanol to hydrocarbons COPS 2.0 #13

Markusen, J R

• Lopez de Silanes, F, Markusen, J R, and Rutherford, T F, Complementarity and Increasing Returns in Intermediate Inputs: A Theoretical and Applied General-Equilibrium Analysis. Journal of Development Economics 45 (1994), 133-151.
• Markusen, J R, and Feenstra, R, Accounting for Growth with New Inputs. Journal of International Economics (1993).
• Models:

  cirimge	Increasing returns in intermediate inputs
  dmcmge	Accounting for economic growth with new inputs

Martello, S

• Martello, S, and Toth, P, Knapsack Problems: Algorithms and Computer Implementations. John Wiley and Sons, Chichester, 1990.
• Models:

  gapmin

  Lagrangian Relaxation of Assignment Problem

Martikainen T

• Gunasekaran, A, Goyal, S K, Martikainen T, and Yli-Olli, P, Equipment Selection Problems in just-in-time Manufacturing Systems. Journal of the Operational Research Society 44 (1993), 345-353.
• Models:

  jit	Design of Just-in-Time Flowshops

Mathematica

• Mathematica, MathOptimizer - An Advanced Modeling and Optimization System for Mathematica Users. http://www.wolfram.com/products/applications/mathoptimizer/
• Models:

  mathopt1	MathOptimizer Example 1
  mathopt2	MathOptimizer Example 2
  mathopt3	MathOptimizer Example 3
  mathopt4	MathOptimizer Example 4
  mathopt5	MathOptimizer Example 5
  mathopt6	MathOptimizer Example 6

Mattheij, R M M

• Ascher, U M, Mattheij, R M M, and Russell, R D, Numerical Solution of Boundary Value Problems for Ordinary Differential Equations. SIAM, 1995.
• Models:

  pinene	Isometrization of alpha-pinene COPS 2.0 #5
  flowchan	Flow in a channel COPS 2.0 #7
  gasoil	Catalytic cracking of gas oil COPS 2.0 #12
  methanol	Methanol to hydrocarbons COPS 2.0 #13

Mavrotas, G

• Mavrotas, G, Generation of efficient solutions in Multiobjective Mathematical Programming problems using GAMS. Tech. rep., School of Chemical Engineering, National Technical University of Athens, 2006.
• Models:

  epscm

  eps-Constraint Method for Multiobjective Optimization

McCormick, G P

• Bracken, J, and McCormick, G P, Selected Applications of Nonlinear Programming. John Wiley and Sons, New York, 1968.
• Models:

  weapons	Weapons Assignment
  bid	Bid Evaluation
  process	Alkylation Process Optimization
  chem	Chemical Equilibrium Problem
  ship	Structural Optimization
  linear	Linear Regression with Various Criteria
  least	Nonlinear Regression Problem
  like	Maximum Likelihood Estimation
  chance	Chance Constrained Feed Mix Problem
  sample	Stratified Sample Design
  launch	Launch Vehicle Design and Costing
  bidsos	Bid Evaluation with SOS2 Sets

Meeraus, A

• Choksi, A M, Meeraus, A, and Stoutjesdijk, A J, The Planning of Investment Programs in the Fertilizer Industry. The John Hopkins University Press, Baltimore and London, 1980.
• Kendrick, D, Meeraus, A, and Alatorre, J, The Planning of Investment Programs in the Steel Industry. The Johns Hopkins University Press, Baltimore and London, 1984.
• Brown, M, Dammert, A, Meeraus, A, and Stoutjesdijk, A J, Worldwide Investment Analysis - The Case of Aluminum. Tech. rep., The World Bank, 1983.
• Kendrick, D, Meeraus, A, and Suh, J S, Oil Refinery Modeling with the GAMS language. Tech. rep., Center of Energy Studies, University of Texas, 1981.
• Blitzer, C, Meeraus, A, and Stoutjesdijk, A J, A Dynamic model of OPEC Trade and Production. Journal of Development Economics, 2 (1975), 318-335.
• Bergendorff, H, Glenshaw, P, and Meeraus, A, The Planning of Investment Programs in the Paper Industry. Tech. rep., The World Bank, 1980.
• Meeraus, A, and Smeers, Y, Transport Cost Estimates via Linear Programming. The World Bank, 1985.
• Brooke, A, Kendrick, D, and Meeraus, A, GAMS: A User's Guide. The Scientific Press, Redwood City, California, 1988.
• Brooke, A, Drud, A S, and Meeraus, A, Modeling Systems and Nonlinear Programming in a Research Environment. In Ragavan, R, and Rohde, S M, Eds, Computers in Engineering, Vol. III. ACME, 1985.
• Kutcher, G P, Meeraus, A, and O'Mara, G T, Agriculture Sector and Policy Models. The World Bank, 1988.
• Dahl, H, Meeraus, A, and Zenios, S A, Some Financial Optimization Models: Risk Management. In Zenios, S A, Ed, Financial Optimization. Cambridge University Press, New York, NY, 1993.
• Ferris, M C, Meeraus, A, and Rutherford, T F, Computing Wardropian Equilibria in a Complementarity Framework. Optimization Methods and Software 10 (1999), 669-685.
• Models:

  ferts	Egypt - Static Fertilizer Model
  fertd	Egypt - Dynamic Fertilizer Model
  mexss	Mexico Steel - Small Static
  mexsd	Mexico Steel - Small Dynamic
  mexls	Mexico Steel - Large Static
  alum	World Aluminum Model
  marco	Mini Oil Refining Model
  otpop	OPEC Trade and Production
  tforss	Antalya Forestry Model - Steady State
  tfordy	Antalya Forestry Model - Dynamic
  msm	Morocco Fertilizer Distribution - Mode Selection
  water	Design of a Water Distribution Network
  great	Great Circle Distances
  phosdis	Sea Distances for World Phosphate Model
  demo1	Simple Farm Level Model
  demo7	Nonlinear Simple Agricultural Sector Model
  immun	Financial Optimization: Risk Management
  worst	Financial Optimization: Risk Management
  meanvar	Financial Optimization: Risk Management
  meanvarx	Financial Optimization: Risk Management
  cmo	Financial Optimization: Financial Engineering
  tba	Financial Optimization: Financial Engineering
  waterx	Design of a Water Distribution Network (MINLP)
  traffic	Traffic Equilibrium Problem
  qdemo7	Nonlinear Simple Agricultural Sector Model QCP
  qmeanvar	Financial Optimization: Risk Management using MIQCP
  qmeanvag	Portfolio Modeling with Parallel Solutions

Meeraus, W H

• Meeraus, W H, A Combined Fieldwork and Laboratory Investigation into the Behaviour of the Herves Transposable Element. Masters thesis, London School of Hygiene and Tropical Medicine, 2004.
• Models:

  herves

  Herves (Transposable Element) Activity Calculations

Melton, J W

• Melton, J W, An Investment Planning Model for an Oil Shale Industry in the Piceance Basin. PhD thesis, Center for Economic Research, University of Texas, 1982.
• Models:

  shale

  Investment Planning in the Oil Shale Industry

Meneses, C N

• Meneses, C N, Lu, Z, Oliveira, C A S, and Pardalos, P M, Optimal Solutions for the Closest-String Problem via Integer Programming. INFORMS Journal on Computing 16, 4 (2004), 419-429.
• Models:

  csp	Closest String Problem

Mennes, L B M

• Mennes, L B M, and Stoutjesdijk, A J, Multicountry Investment Analysis. The John Hopkins University Press, Baltimore and London, 1986.
• Models:

  andean

  Andean Fertilizer Model

Meyer, C A

• Floudas, C A, Pardalos, P M, Adjiman, C S, Esposito, W R, Gumus, Z H, Harding, S T, Klepeis, J L, Meyer, C A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization. Kluwer Academic Publishers, 1999.
• Models:

  trimloss	Trim Loss Minimization
  pump	Pump Network Synthesis
  methanol	Methanol to hydrocarbons COPS 2.0 #13
  bchtlbas	Trim Loss Minimization with Heuristic using BCH Facility

Meyer, R R

• Clark, R H, Kennington, L, Meyer, R R, and Ramamurti, M, Generalized Networks: Parallel Algorithms and an Empirical Analysis. ORSA Journal on Computing 4, 2 (1992), 132-145.
• Models:

  netgen

  Min Cost Flow with an Instance generated by NETGEN

Michna, M

• Michna, M, and Gdanska, P, Winding Factor of Electrica Machines.
• Models:

  windfac

  Winding Factor of Electrical Machines

Miller, C E

• Miller, C E, Tucker, A W, and Zemlin, R A, Integer Programming Formulation of Traveling Salesman Problems. J. ACM 7, 4 (1960), 326-329.
• Models:

  tsp5	TSP solution with Miller et al subtour elimination

Miller, D

• Golan, A, Judge, G, and Miller, D, Maximum Entropy Econometrics. John Wiley and Sons, 1996.
• Models:

  cesam

  Cross Entropy SAM Estimation

Miller, M H

• Miller, M H, and Spencer, J E, The Static Economic Effects of the UK joining the EEC: A General Equilibrium Approach. R.E.Stud, 1975.
• Models:

  shovmge

  The economic effects of UK membership in the EC

Mitra, P

• Ellison, E F D, and Mitra, P, UIMP - User Interface for Mathematical Programming. ACM Transactions on Mathematical Software 8, 2 (1982).
• Mitra, P, and Tendulkar, S, Coping with Internal and External Exogenous Shocks: India. Tech. rep., The World Bank, 1986.
• Mitra, P, Adjustments in Oil Importing Developing Countries: A Comparative Economic Analysis. Cambridge University Press, New York, NY, 1993.
• Models:

  uimp	UIMP - Production Scheduling Problem
  ganges	Macroeconomic Framework for India
  gangesx	Economic Framework for India - Tracking
  gancns	Macro-Economic Framework for India - CNS
  gancnsx	Macro-Economic Framework for India - Tracking CNS

Mladenovic, N

• Audet, C, Brimberg, J, Hansen, P, and Mladenovic, N, Pooling problem: Alternate formulations and solution methods. Tech. rep., Les Cashiers Du GERAD G-2000-23, Montreal, 2000.
• Brimberg, J, Hansen, P, Lih, K, Mladenovic, N, and Breton, M, An Oil Pipeline Design Problem. Operations Research 51 (2) (2003), 228-239.
• Models:

  pool	Pooling problem
  bchoil	Oil Pipeline Design Problem using BCH Facility
  ccoil	Oil Pipeline Design Problem using concurrent MIP solves

Moon, I

• Silver, E A, and Moon, I, A Fast Heuristic for Minimizing Total Average Cycle Stock Subject to Practical Constraints. Journal of the Operational Research Society 50 (1999), 789-796.
• Models:

  stockcc

  Minimizing Total Average Cycle Stock

Morari, M

• Morari, M, and Grossmann, I E, Eds, Chemical Engineering Optimization Models with GAMS. Computer Aids for Chemical Engineering Corporation, 1991.
• Models:

  procsel	Structural Optimization of Process Flowsheets
  minlphi	Heat Integrated Distillation Sequences
  batchdes	Optimal Design for Chemical Batch Processing
  nonsharp	Synthesis of General Distillation Sequences
  reaction	Logical Inference for Reaction path synthesis
  feedtray	Optimum Feed Plate Location
  minlphix	Heat Integrated Distillation Sequences

More, J J

• Dolan, E D, and More, J J, Benchmarking Optimization Software with COPS. Tech. rep., Mathematics and Computer Science Division, 2000.
• Averick, B M, Carter, R G, More, J J, and Xue, G L, The MINPACK-2 Test Problem Collection. Tech. rep., Mathematics and Computer Science Division, Argonne National Laboratory, 1992.
• Models:

  polygon	Largest small polygon COPS 2.0 #1
  elec	Distribution of electrons on a sphere COPS 2.0 #2
  chain	Hanging Chain COPS 2.0 #3
  camshape	Shape optimization of a cam COPS 2.0 #4
  pinene	Isometrization of alpha-pinene COPS 2.0 #5
  popdynm	Marine population dynamics COPS 2.0 #6
  flowchan	Flow in a channel COPS 2.0 #7
  robot	Robot arm COPS 2.0 #8
  lnts	Particle steering COPS 2.0 #9
  rocket	Goddard rocket COPS 2.0 #10
  glider	Hang glider COPS 2.0 #11
  gasoil	Catalytic cracking of gas oil COPS 2.0 #12
  methanol	Methanol to hydrocarbons COPS 2.0 #13
  catmix	Catalyst Mixing COPS 2.0 #14
  torsion	Elastic-plastic torsion COPS 2.0 #15
  jbearing	Journal bearing COPS 2.0 #16
  minsurf	Minimal surface with obstacle COPS 2.0 #17

Morris, J R

• Morris, J R, Deaven, D M, and Ho, K M, Genetic Algorithm Energy Minimization for Point Charges on a Sphere. Phys. Rev. B. 53 (1996), R1740-R1743.
• Models:

  elec	Distribution of electrons on a sphere COPS 2.0 #2

Mulvey, J

• Zenios, S A, Drud, A S, and Mulvey, J, Balancing some large Social Accounting Matrices with Nonlinear Programming. Tech. rep., Department of Civil Engineering, Princeton University, 1986.
• Models:

  sambal	Social Accounting Matrix Balancing Problem
  qsambal	Social Accounting Matrix Balancing Problem QCP

Murphy, F H

• Murphy, F H, Sherali, H D, and Soyster, A L, A Mathematical Programming Approach for Determining Oligopolistic Market Equilibrium. Mathematical Programming 24 (1982), 92-106.
• Models:

  oligomcp	Oligopolistic Competition - Examples from MP
  nash	A non-cooperative game: Nash and Stackelberg versions

Murray, W

• Gill, P E, Murray, W, and Saunders, M A, GAMS/SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization.
• Models:

  circle

  Circle Enclosing Points - SNOPT Example

Murtagh, B A

• Murtagh, B A, and Saunders, M A, A Projected Lagrangian Algorithm and its Implementation for Sparse Nonlinear Constraints. Mathematical Programming Study 16 (1982), 84-117.
• Models:

  ramsey

  Savings Model by Ramsey

Napier, A

• Klingman, D, Napier, A, and Stutz, J, NETGEN: A program for generating large scale capacitated assignment, transportation, and minimum cost flow networks. Management Science 20 (1974), 814-820.
• Models:

  netgen

  Min Cost Flow with an Instance generated by NETGEN

Nelson, C R

• Manne, A S, Nelson, C R, So, K C, and Weyant, J P, CPM: A Contingency Planning Model of the International Oil Market, International Energy Program Report. Tech. rep., Stanford University, 1982.
• Models:

  srcpm

  Single-Region Contingency Planning Model

Nemhauser, G L

• Carlson, R C, and Nemhauser, G L, Scheduling to Minimize Interaction Cost. Operations Research 14 (1966), 52-58.
• Models:

  nemhaus

  Scheduling to Minimize Interaction Cost

Nerz, E

• Bulirsch, R, Nerz, E, Pesch, H J, and von Stryk, O, Combining Direct and Indirect Methods in Nonlinear Optimal Control: Range Maximization of a Hang Glider. In Bulirsch, R, Ed, Optimal Control. Birkhauser Verlag, 1993, pp. 273-288.
• Models:

  glider

  Hang glider COPS 2.0 #11

Neumaier, A

• Neumaier, A, and Shcherbina, O, Safe Bounds in Linear and Mixed-Integer Programming. Mathematical Programming A to appear, (2003).
• Models:

  badmip

  Rounding Problems in MIPs

Ni, H

• Bussieck, M R, and Ni, H, Technical Note: Solving the Steiner Tree Problem with GAMS Branch-and-Cut Facility. Tech. rep., GAMS Development Corporation, 2003.
• Bussieck, M R, and Ni, H, Technical Note: Solving an Oil Pipeline Design Problem with the GAMS Branch-and-Cut Facility. Tech. rep., GAMS Development Corporation, 2003.
• Models:

  bchfcnet	Fixed Cost Network Flow Problem with Cuts using BCH Facility
  bchoil	Oil Pipeline Design Problem using BCH Facility

Norton, R D

• Norton, R D, and Scandizzo, P L, Market Equilibrium Computations in Activity Analysis Models. Operations Research 29, 2 (1981).
• Models:

  prolog

  Market Equilibrium and Activity Analysis

O'Brochta, D

• O'Brochta, D, Private Communications, 2004.
• Models:

  herves

  Herves (Transposable Element) Activity Calculations

O'Mara, G T

• Duloy, J H, and O'Mara, G T, Issues of Efficiency and Interdependence in Water Resource Investments: Lessons from the Indus Basin of Pakistan. Tech. rep., The World Bank, 1984.
• Kutcher, G P, Meeraus, A, and O'Mara, G T, Agriculture Sector and Policy Models. The World Bank, 1988.
• Models:

  iswnm	Indus Surface Water Network Submodule
  indus	Indus Agricultural Model
  demo1	Simple Farm Level Model
  demo7	Nonlinear Simple Agricultural Sector Model
  qdemo7	Nonlinear Simple Agricultural Sector Model QCP

Ogura, A

• Ogura, A, Post-Gaussian variational method for quantum anharmonic oscillator, 1999. Laboratory of Physics, College of Science and Technology, Nihon University,arXiv:physics/9905056 v1 28 May 1999
• Models:

  quantum

  An application from quantum mechanics

Oliveira, C A S

• Meneses, C N, Lu, Z, Oliveira, C A S, and Pardalos, P M, Optimal Solutions for the Closest-String Problem via Integer Programming. INFORMS Journal on Computing 16, 4 (2004), 419-429.
• Models:

  csp	Closest String Problem

Ortega, F

• Ortega, F, and Wolsey, L, A branch-and-cut algorithm for the single-commodity, uncapacitated, fixed-charge network flow problem. Networks 41 (3) (2003), 143-158.
• Models:

  bchfcnet

  Fixed Cost Network Flow Problem with Cuts using BCH Facility

Palaniappan, S

• Dammert, A, and Palaniappan, S, Modeling Investments in the World Copper Sector. The University of Texas Press, Austin, Texas, 1985.
• Models:

  copper

  Modeling Investment in the World Copper Industry

Palmer, K H

• Palmer, K H, A Model Management Framework for Mathematical Programming. John Wiley and Sons, 1984.
• Models:

  fawley

  Platoform Example Refinery

Panton, D M

• Panton, D M, and Elbers, A W, Mission Planning for Synthetic Aperture Radar Surveillance. Interfaces 29, 2 (1999), 73-88.
• Models:

  swath

  Mission Planning for Synthetic Aperture Radar Surveillance

Pardalos, P M

• Floudas, C A, Pardalos, P M, Adjiman, C S, Esposito, W R, Gumus, Z H, Harding, S T, Klepeis, J L, Meyer, C A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization. Kluwer Academic Publishers, 1999.
• Floudas, C A, and Pardalos, P M, Eds, Frontiers in Global Optimization. Kluwer Academic Publishers, 2003.
• Meneses, C N, Lu, Z, Oliveira, C A S, and Pardalos, P M, Optimal Solutions for the Closest-String Problem via Integer Programming. INFORMS Journal on Computing 16, 4 (2004), 419-429.
• Rebennack, S, Kallrath, J, and Pardalos, P M, Energy Portfolio Optimization for Electric Utilities: Case Study for Germany. In Bjorndal, E, Bjorndal, M, Pardalos, P M, and Ronnqvist, M, Eds, Energy, Natural Resources and Environmental Economics. Springer, 2010, pp. 221-246.
• Rebennack, S, Kallrath, J, and Pardalos, P M, Optimal Storage Design for a Multi-Product Plant: A Non-Convex MINLP Formulation. Tech. rep., University of Florida, 2009. Submitted to Computers and Chemical Engineering
• Models:

  trimloss	Trim Loss Minimization
  pump	Pump Network Synthesis
  methanol	Methanol to hydrocarbons COPS 2.0 #13
  kport	Product Portfolio Optimization
  bchtlbas	Trim Loss Minimization with Heuristic using BCH Facility
  csp	Closest String Problem
  poutil	Portfolio Optimization for Electric Utilities
  tanksize	Tank Size Design Problem

Patil, R J

• Cox, L H, Kelly, J P, and Patil, R J, Computational Aspects of Controlled Tabular Adjustements: Algorithms and Analaysis. In Golden, B L, Raghavan, S, and Wasil, E A, Eds, The Next Wave in Computing, Optimization, and Decision Technologies. Springer Verlag, 2005, pp. 45-59.
• Models:

  cta	Controlled Tabular Adjustments

Paules IV, G E

• Floudas, C A, and Paules IV, G E, A Mixed-Integer Nonlinear Programming Formulation for the Synthesis of Heat Integrated Distillation Sequence. Computers and Chemical Engineering 12, 6 (1988), 531-546.
• Models:

  minlphi	Heat Integrated Distillation Sequences
  minlphix	Heat Integrated Distillation Sequences

Pereira, M V F

• Pereira, M V F, and Pinto, L M V G, Stochastic optimization of a multireservoir hydroelectric system: A decomposition approach. Water Resources Research 21, 6 (1985), 779-792.
• Pereira, M V F, and Pinto, L M V G, Multi-stage stochastic optimization applied to energy planning. Mathematical Programming 52 (1991), 359-375.
• Models:

  sddp	Multi-stage Stochastic Water Reservoir Model solved with SDDP

Perroni, C

• Perroni, C, and Rutherford, T F, International Trade in Carbon Emission Rights and Basic Materials: General Equilibrium Calculations for 2020. Scandinavian Journal of Economics 95, 3 (1993), 257-278.
• Models:

  co2mge

  Carbon-related trade model (static)

Pesch, H J

• Bulirsch, R, Nerz, E, Pesch, H J, and von Stryk, O, Combining Direct and Indirect Methods in Nonlinear Optimal Control: Range Maximization of a Hang Glider. In Bulirsch, R, Ed, Optimal Control. Birkhauser Verlag, 1993, pp. 273-288.
• Models:

  glider

  Hang glider COPS 2.0 #11

Petersen, C C

• Petersen, C C, Computational experience with variants of the Balas algorithm applied to the selection of R&D projects. Management Science 13 (9) (1967), 736-750.
• Models:

  bchmknap	Multi knapsack problem using BCH Facility
  bchtsp	Traveling Salesman Problem Instance with BCH

Petterson, F

• Westerlund, T, Petterson, F, and Grossmann, I E, Optimization of Pump Configurations as a MINLP Problem. Computers and Chemical Engineering 18, 9 (1994), 845-858.
• Models:

  pump	Pump Network Synthesis

Phillips, M

• Bollapragada, S, Cheng, H, Phillips, M, and Garbiras, M, NBC's Optimization Systems Increase Its Revenues and Productivity. Interfaces 31, 1 (2002).
• Models:

  tvcsched

  Flow Formulation of the ISCI Rotator Problem

Phillips, M D

• Phillips, M D, and Cho, B R, Determining the Optimum Process Mean under a Beta Distribution. A Nonlinear model for determining the most economic process mean under a beta distribution 7 (2000), 61--74.
• Models:

  procmean

  Optimal Process Mean

Pindyck, R S

• Pindyck, R S, Gains to Producers from the Cartelization of Exhaustible Resources. Review of Economics and Statistics 60 (1978), 238-251.
• Models:

  pindyck

  Optimal Pricing and Extraction for OPEC

Pinter, J D

• Pinter, J D, LGO - A Model Development System for Continuous Global Optimization. User's Guide. (Revised edition). Pinter Consulting Services, Halifax, NS Canada, 2003.
• Pinter, J D, Global Optimization in Action. Kluwer Acadameic Publishers, Dordrecht/Boston/London, 1996.
• Pinter, J D, Computational Global Optimization in Nonlinear Systems. Lionheart Publishing, Atlanta, GA, 2001.
• Models:

  mathopt1	MathOptimizer Example 1
  mathopt2	MathOptimizer Example 2
  mathopt3	MathOptimizer Example 3
  mathopt4	MathOptimizer Example 4
  mathopt5	MathOptimizer Example 5
  mathopt6	MathOptimizer Example 6
  trig	Simple Trigonometric Example
  maxmin	Max Min Location of Points in Unit Square
  fct	LGO Interface Example
  t1000	LGO Test t1000_10

Pinto, L M V G

• Pereira, M V F, and Pinto, L M V G, Stochastic optimization of a multireservoir hydroelectric system: A decomposition approach. Water Resources Research 21, 6 (1985), 779-792.
• Pereira, M V F, and Pinto, L M V G, Multi-stage stochastic optimization applied to energy planning. Mathematical Programming 52 (1991), 359-375.
• Models:

  sddp	Multi-stage Stochastic Water Reservoir Model solved with SDDP

Plateau M.C.

• Plateau M.C., Reformulations quadratiques convexes pour la programmation quadratique en variables 0-1. PhD thesis, Conservatoire National des Arts et Metiers, CEDRIC, 2006.
• Models:

  gqapsdp	SDP Convexifications of the Generalized Quadratic Assignment Problem
  kqkpsdp	SDP Convexifications of the Cardinality constraint Quadratic Knapsack Problem

Pochet, Y

• Pochet, Y, and Wolsey, L A, Production Planning by Mixed Integer Programming (Springer Series in Operations Research and Financial Engineering). Springer-Verlag New York, Inc., 2006.
• Models:

  prodplan

  A Production Planning Example

Porn, R

• Harjunkoski, I, Westerlund, T, Porn, R, and Skrifvars, H, Different Transformations for Solving Non-Convex Trim Loss Problems by MINLP. European Journal of Operational Research 105, 3 (1998), 594-603.
• Models:

  trimloss	Trim Loss Minimization
  bchtlbas	Trim Loss Minimization with Heuristic using BCH Facility

Preckel, P V

• Manne, A S, and Preckel, P V, North-South Trade, Capital Flows and Economic Growth: An Almost Neoclassical Model. In Syrquin, M, Ed, Economic Structure and Performance: Essays in Honor of Hollis B. Chenery. Academic Press, 1984.
• Models:

  nsmge

  North-South trade and capital flows

Prins, C

• Gueret, C, Prins, C, and Sevaux, M, Applications of Optimization with Xpress-MP, Translated and revised by Susanne Heipcke. Dash Optimization, 2002.
• Models:

  fiveleap

  The Five Leaper Tour Problem

Puakpong, P

• Choypeng, P, Puakpong, P, and Rosenthal, R E, Optimal Ship Routing and Personnel Assignment for Naval Recruitment in Thailand. Interfaces 16, 4 (1986), 356-366.
• Models:

  thai	Thai Navy Problem
  thaix	Thai Navy Problem Extended

Raduchel, W J

• Chenery, H B, and Raduchel, W J, Substitution and Structural Change. In Chenery, H B, Ed, Structural Change and Development Policy. Oxford University Press, New York and Oxford, 1979.
• Models:

  chenery

  Substitution and Structural Change

Ramamurti, M

• Clark, R H, Kennington, L, Meyer, R R, and Ramamurti, M, Generalized Networks: Parallel Algorithms and an Empirical Analysis. ORSA Journal on Computing 4, 2 (1992), 132-145.
• Models:

  netgen

  Min Cost Flow with an Instance generated by NETGEN

Raman, R

• Raman, R, and Grossmann, I E, Relation between MINLP Modeling and Logical Inverence for Chemical Process Synthesis. Computers and Chemical Engineering 15, 2 (1991), 73-84.
• Raman, R, and Grossmann, I E, Modeling and Computational Techniques for Logic Based Integer Programming. Computers and Chemical Engineering 18, 7 (1994), 563-578.
• Models:

  reaction	Logical Inference for Reaction path synthesis
  logmip1a	LogMIP User's Manual Example 1a - Job Scheduling
  logmip1b	LogMIP User's Manual Example 1b - Job Scheduling
  logmip1c	LogMIP User's Manual Example 1c - Job Scheduling
  logmip3	LogMIP User's Manual Example 3 - Synthesis of 8 Processes
  logmip4	LogMIP User's Manual Example 4 - Job Shop Scheduling

Ramsey, F P

• Ramsey, F P, A Mathematical Theory of Saving. Economics Journal (1928).
• Models:

  ramsey

  Savings Model by Ramsey

Rebennack, S

• Rebennack, S, Kallrath, J, and Pardalos, P M, Energy Portfolio Optimization for Electric Utilities: Case Study for Germany. In Bjorndal, E, Bjorndal, M, Pardalos, P M, and Ronnqvist, M, Eds, Energy, Natural Resources and Environmental Economics. Springer, 2010, pp. 221-246.
• Rebennack, S, Kallrath, J, and Pardalos, P M, Optimal Storage Design for a Multi-Product Plant: A Non-Convex MINLP Formulation. Tech. rep., University of Florida, 2009. Submitted to Computers and Chemical Engineering
• Models:

  poutil	Portfolio Optimization for Electric Utilities
  tanksize	Tank Size Design Problem

Reinelt, G

• Juenger, M, Reinelt, G, and Thienel, S, Optimal and Probably Good Solutions for the Symmetric Traveling Salesman Problem. Zeitschrift fuer Operations Research 40 (1994), 183--217.
• Models:

  awktsp

  Traveling Salesman Problem Instance prepared with AWK

Rendl, F

• Burkard, R E, Karisch, S E, and Rendl, F, QAPLIB - A Quadratic Assignment Problem Library. Journal of Global Optimization 10 (1997), 391--403.
• Models:

  awkqap

  Input file generation with AWK for the Quadratic Assignment Problem

Richels, R G

• Manne, A S, and Richels, R G, Buying Greenhouse Insurance: The Economic Cost of Dioxide Emission Limits. MIT Press Cambridge, 1992.
• Models:

  mr5mcp

  Multi-Region Growth Model Based on Global 2100

Rinnoy Kan, A H G

• Lawler, E L, Lenstra, J K, Rinnoy Kan, A H G, and Shmoys, D B, Eds, The Traveling Salesman Problem, A Guided Tour of Combinatorial Optimization. Wiley, 1985.
• Models:

  tsp3	Traveling Salesman Problem - Three

Robbins, A

• Doufherty, D, and Robbins, A, SED and AWK. O'Reilly & Associates, Sebastobol, 1997.
• Models:

  seders

  ERS Data Manipulations with SED

Robinson, S

• Robinson, S, Kilkenny, M, and Hanson, K, The USDA/ERS Computable General Equilibrium (CGE) Model of the United States. Tech. rep., USDA/ERS, 1990.
• Robinson, S, Cattaneo, A, and El-Said, M, Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods. Economic System Research 13, 1 (2001).
• Chenery, H B, Robinson, S, and Syrquin, M, Eds, Industrialization and Growth: A Comparative Study. Oxford University Press, London, 1986.
• Models:

  korcge	General Equilibrium Model for Korea - NLP
  kormcp	General Equilibrium Model for Korea - MCP
  ers82mcp	USDA-ERS CGE Model of the US
  korcns	General Equilibrium Model for Korea - CNS
  cesam	Cross Entropy SAM Estimation

Rosenborg, A

• Drud, A S, and Rosenborg, A, Dimensioning Water Distribution Networks. Masters thesis, Institute of Mathematical Statistics and Operations Research, Technical University of Denmark, 1973. (in Danish)
• Models:

  water	Design of a Water Distribution Network
  waterx	Design of a Water Distribution Network (MINLP)

Rosenbrock, H H

• Rosenbrock, H H, An Automatic Method for finding the Greatest or least value of a function. Computer Journal 3 (1960), 175-184.
• Models:

  rbrock

  Rosenbrock Test Function

Rosenthal, R E

• Rosenthal, R E, Chapter 2: A GAMS Tutorial. In GAMS: A User's Guide. The Scientific Press, Redwood City, California, 1988.
• Choypeng, P, Puakpong, P, and Rosenthal, R E, Optimal Ship Routing and Personnel Assignment for Naval Recruitment in Thailand. Interfaces 16, 4 (1986), 356-366.
• Models:

  trnsport	A Transportation Problem
  thai	Thai Navy Problem
  thaix	Thai Navy Problem Extended
  trnssdp	Solving the Transportation LP Problem using SDP

Rosenwein, M

• Guignard, M, and Rosenwein, M, An Improved Dual-Based Algorthm for the Generalized Assignment Problem. Operations Research 37 (1989), 658-663.
• Models:

  gapmin

  Lagrangian Relaxation of Assignment Problem

Rothschild, B J

• Rothschild, B J, Sharov, A F, and Bondarenko, A S, Estimating Growth and Mortality in Stage-Structured Populations. Journal of Plankton Research 19 (1997), 1913-1928.
• Models:

  popdynm

  Marine population dynamics COPS 2.0 #6

Rowse

• Rowse, Mackinnon, J, Samuelson, and von Thunen, General Equilibrium Variant of the von Thunen Model.
• Models:

  vonthmcp

  General Equilibrium Variant of the von Thunen Model

Russell, R D

• Ascher, U M, Mattheij, R M M, and Russell, R D, Numerical Solution of Boundary Value Problems for Ordinary Differential Equations. SIAM, 1995.
• Models:

  pinene	Isometrization of alpha-pinene COPS 2.0 #5
  flowchan	Flow in a channel COPS 2.0 #7
  gasoil	Catalytic cracking of gas oil COPS 2.0 #12
  methanol	Methanol to hydrocarbons COPS 2.0 #13

Rutherford, T F

• Boehringer, C, and Rutherford, T F, Carbon taxes with exemptions in an open economy: a general equilibrium analysis of the German tax initiative. Journal of Environmental Economics and Management 32 (2) (1997), 189-203.
• Lopez de Silanes, F, Markusen, J R, and Rutherford, T F, Complementarity and Increasing Returns in Intermediate Inputs: A Theoretical and Applied General-Equilibrium Analysis. Journal of Development Economics 45 (1994), 133-151.
• Perroni, C, and Rutherford, T F, International Trade in Carbon Emission Rights and Basic Materials: General Equilibrium Calculations for 2020. Scandinavian Journal of Economics 95, 3 (1993), 257-278.
• Torma, H, and Rutherford, T F, A General Equilibrium Assessment of Finland's grand Tax Reform. Tech. rep., Department of Economics and Management, University of Jyvaskyla, 1992.
• Rutherford, T F, Applied General Equilibrium Modeling with MPSGE as a GAMS Subsystem: An Overview of the Modeling Framework and Syntax. Computational Economics 14 (1999), 1-46.
• Ferris, M C, Meeraus, A, and Rutherford, T F, Computing Wardropian Equilibria in a Complementarity Framework. Optimization Methods and Software 10 (1999), 669-685.
• Rutherford, T F, GEMTAP: A General Equilibrium Model for Tax Policy.
• Rutherford, T F, Tarr, D, and Shepotylo, O, Poverty Effects of Russia's WTO Accession: modeling 'real' households and endogenous productivity effects. Tech. rep., The World Bank, September 2004.
• Models:

  gemmcp	GEMTAP: A general equilibrium model for tax policy
  cirimge	Increasing returns in intermediate inputs
  co2mge	Carbon-related trade model (static)
  finmge	A General Equilibrium Model for Finland
  sammge	Carbon taxes with exemptions for heavy industry
  threemge	Three Approaches to Differential Tax Policy Analysis
  traffic	Traffic Equilibrium Problem
  decomphh	A Successive Recalibration Algorithm for GE Models with Many Households

Saff, E B

• Saff, E B, and Kuijlaars, A, Distributing Many Points on the Sphere. Math. Intelligencer 19 (1997), 5-11.
• Models:

  elec	Distribution of electrons on a sphere COPS 2.0 #2

Sahinidis, N

• Adhya, N, Tawarmalani, M, and Sahinidis, N, A Lagrangian Approach to the Pooling Problem. Industrial and Engineering Chemical Research 38 (1999), 1956-1972.
• Gutierrez, R A, and Sahinidis, N, A Lagrangian Approach to the Pooling Problem. Interantional J Production Research 34 (1996), 797-818.
• Tawarmalani, M, and Sahinidis, N, Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications. Kluwer, 2002.
• Adhya, N, Tawarmalani, M, and Sahinidis, N, Global optimization of the pooling problem. Industrial and Engineering Chemistry 38 (1999), 1956--1972.
• Models:

  haverly	Haverly's pooling problem example
  jit	Design of Just-in-Time Flowshops
  lmp1	Linear Multiplicative Model - Type 1
  lmp2	Linear Multiplicative Model - Type 2
  lmp3	Linear Multiplicative Model - Type 3
  pool	Pooling problem

Samuelson

• Rowse, Mackinnon, J, Samuelson, and von Thunen, General Equilibrium Variant of the von Thunen Model.
• Models:

  vonthmcp

  General Equilibrium Variant of the von Thunen Model

Sandgren, E

• Sandgren, E, Nonlinear Integer and Discrete Programming in Mechanical Design Optimization. Journal of Mechanical Design, Trans. ASME 112 (1990), 223-229.
• Models:

  spring

  Coil Compression String Design

Saunders, M A

• Murtagh, B A, and Saunders, M A, A Projected Lagrangian Algorithm and its Implementation for Sparse Nonlinear Constraints. Mathematical Programming Study 16 (1982), 84-117.
• Gill, P E, Murray, W, and Saunders, M A, GAMS/SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization.
• Models:

  ramsey	Savings Model by Ramsey
  circle	Circle Enclosing Points - SNOPT Example

Savant, M

• Savant, M, Ask Marilyn. Parade, May 23
• Models:

  marilyn

  Numerical Puzzle

Scandizzo, P L

• Norton, R D, and Scandizzo, P L, Market Equilibrium Computations in Activity Analysis Models. Operations Research 29, 2 (1981).
• Le-Si, V, Scandizzo, P L, and Kasnagoklu, H, Turkey Agricultural Sector Model. Tech. rep., The World Bank, 1982.
• Kutcher, G P, and Scandizzo, P L, The Agricultural Economy of Northeast Brazil. The Johns Hopkins University Press, Baltimore and London, 1981.
• Models:

  prolog	Market Equilibrium and Activity Analysis
  turkey	Turkey Agricultural Model with Risk
  nebrazil	North-East Brazil Regional Agricultural Model
  agreste	Agricultural Farm Level Model of NE Brazil

Scarf, H

• Scarf, H, and Hansen, T, The Computation of Economic Equilibria. Yale University Press, 1973.
• Scarf, H, Some Examples of Global Instability of the Competitive Equilibrium. International Economic Review 1 (1960), 157-171.
• Models:

  scarfmcp	Scarf's Activity Analysis Example
  hansmcp	Hansen's Activity Analysis Example - MCP
  hansmge	Hansen's Activity Analysis Example - MPSGE
  scarfmge	Tax distortions in a small activity analysis model
  unstmge	Globally Unstable Equilibria

Schittkowski, K

• Hock, W, and Schittkowski, K, Test Examples for Nonlinear Programming Codes, Lecture Notes in Economics and Mathematical Systems. Springer Verlag, 1981.
• Models:

  hs62	Hock - Schittkowski Problem 62

Schoen, D J

• Wright, S I, Le, Q H, Schoen, D J, and Bureau T E, Population Dynamics of an Ac-like Transposable Element in Self- and Cross-Pollinating Arabidopsis. Genetics 158 (2001), 1279-1288.
• Models:

  herves

  Herves (Transposable Element) Activity Calculations

Schrijver, A

• Schrijver, A, Minimum Circulation of Railway Stock. CWI Quarterly 3 (1993), 205-217.
• Models:

  railcirc

  Minimum Circulation of Railway Stock

Schweiger, C A

• Floudas, C A, Pardalos, P M, Adjiman, C S, Esposito, W R, Gumus, Z H, Harding, S T, Klepeis, J L, Meyer, C A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization. Kluwer Academic Publishers, 1999.
• Models:

  trimloss	Trim Loss Minimization
  pump	Pump Network Synthesis
  methanol	Methanol to hydrocarbons COPS 2.0 #13
  bchtlbas	Trim Loss Minimization with Heuristic using BCH Facility

Serban, R

• Anitescu, M, and Serban, R, A Sparse Superlinearly Convergent SQP with Applications to Two-Dimensional Shape Optimization. Tech. rep., Argonne National Laboratory, 1998.
• Models:

  camshape

  Shape optimization of a cam COPS 2.0 #4

Sevaux, M

• Gueret, C, Prins, C, and Sevaux, M, Applications of Optimization with Xpress-MP, Translated and revised by Susanne Heipcke. Dash Optimization, 2002.
• Models:

  fiveleap

  The Five Leaper Tour Problem

Sharov, A F

• Rothschild, B J, Sharov, A F, and Bondarenko, A S, Estimating Growth and Mortality in Stage-Structured Populations. Journal of Plankton Research 19 (1997), 1913-1928.
• Models:

  popdynm

  Marine population dynamics COPS 2.0 #6

Shcherbina, O

• Neumaier, A, and Shcherbina, O, Safe Bounds in Linear and Mixed-Integer Programming. Mathematical Programming A to appear, (2003).
• Models:

  badmip

  Rounding Problems in MIPs

Shepotylo, O

• Rutherford, T F, Tarr, D, and Shepotylo, O, Poverty Effects of Russia's WTO Accession: modeling 'real' households and endogenous productivity effects. Tech. rep., The World Bank, September 2004.
• Models:

  decomphh

  A Successive Recalibration Algorithm for GE Models with Many Households

Sherali, H D

• Murphy, F H, Sherali, H D, and Soyster, A L, A Mathematical Programming Approach for Determining Oligopolistic Market Equilibrium. Mathematical Programming 24 (1982), 92-106.
• Models:

  oligomcp	Oligopolistic Competition - Examples from MP
  nash	A non-cooperative game: Nash and Stackelberg versions

Shmoys, D B

• Lawler, E L, Lenstra, J K, Rinnoy Kan, A H G, and Shmoys, D B, Eds, The Traveling Salesman Problem, A Guided Tour of Combinatorial Optimization. Wiley, 1985.
• Models:

  tsp3	Traveling Salesman Problem - Three

Shoven, J

• Shoven, J, and Whalley, J, Applied G.E. Models. Journal of Economic Literature 22 (1984).
• Balard, C L, Fullerton Don, Shoven, J, and Whalley, J, A General Equilibrium Model for Tax Policy Evaluation. University of Chicago Press, 1985.
• Models:

  two3mcp	Simple 2 x 2 x 2 General Equilibrium Model
  gemmge	GEMTAP: A general equilibrium model for tax policy
  two3mac	Simple 2 x 2 x 2 General Equilibrium Model Using Macros

Siddall, J N

• Siddall, J N, Optimal Engineering Design: Principles and Applications. Marcel Dekker, New York, 1982.
• Models:

  bearing

  Hydrostatic Thrust Bearing Design for a Turbogenerator

Silver, E A

• Silver, E A, and Moon, I, A Fast Heuristic for Minimizing Total Average Cycle Stock Subject to Practical Constraints. Journal of the Operational Research Society 50 (1999), 789-796.
• Models:

  stockcc

  Minimizing Total Average Cycle Stock

Skouras, S

• Florios, K, and Skouras, S, A note on exact computation of max weighted score estimators by mixed integer programming. Tech. rep., National Technical University of Athens and Athens University of Economics and Business, 2007.
• Models:

  mws	Computation of Horowitz’s work-trip mode choice model estimates

Skrifvars, H

• Harjunkoski, I, Westerlund, T, Porn, R, and Skrifvars, H, Different Transformations for Solving Non-Convex Trim Loss Problems by MINLP. European Journal of Operational Research 105, 3 (1998), 594-603.
• Models:

  trimloss	Trim Loss Minimization
  bchtlbas	Trim Loss Minimization with Heuristic using BCH Facility

Sloane, N J A

• Sloane, N J A, The On-Line Encyclopedia of Integer Sequences; Sequence A030169. http://www.research.att.com/projects/OEIS?Anum=A030169
• Models:

  mingamma

  Minimal y of GAMMA(x)

Smeers, Y

• Meeraus, A, and Smeers, Y, Transport Cost Estimates via Linear Programming. The World Bank, 1985.
• Louveaux, F V, and Smeers, Y, Optimal Investments for Electricity Generation: A Stochastic Model and a Test Problem. In Ermoliev, Y, and Wets, R J, Eds, Numerical Techniques for Stochastic Optimization Problems. Springer Verlag, 1988, pp. 445-452.
• de Wolf, D, and Smeers, Y, The Gas Transmission Problem Solved by and Extension of the Simplex Algorithm. Management Science 46, 11 (2000), 1454-1465.
• Models:

  msm	Morocco Fertilizer Distribution - Mode Selection
  phosdis	Sea Distances for World Phosphate Model
  lands	Optimal Investment
  gastrans	Gas Transmission Problem - Belgium

Snell, E J

• Cox, D R, and Snell, E J, Applied Statistics: Principles and Examples. London: Chapman and Hall, 1981.
• Models:

  mlgamma

  Maximum Likelihood estimation of parameters of the gamma distribution

So, K C

• Manne, A S, Nelson, C R, So, K C, and Weyant, J P, CPM: A Contingency Planning Model of the International Oil Market, International Energy Program Report. Tech. rep., Stanford University, 1982.
• Models:

  srcpm

  Single-Region Contingency Planning Model

Somwaru, A

• Somwaru, A, Problem contribution, ERS, US Department of Agriculture, Washington, DC.
• Models:

  seders

  ERS Data Manipulations with SED

Soyster, A L

• Murphy, F H, Sherali, H D, and Soyster, A L, A Mathematical Programming Approach for Determining Oligopolistic Market Equilibrium. Mathematical Programming 24 (1982), 92-106.
• Models:

  oligomcp	Oligopolistic Competition - Examples from MP
  nash	A non-cooperative game: Nash and Stackelberg versions

Spencer, J E

• Miller, M H, and Spencer, J E, The Static Economic Effects of the UK joining the EEC: A General Equilibrium Approach. R.E.Stud, 1975.
• Models:

  shovmge

  The economic effects of UK membership in the EC

Stehouwer, H P

• Stinstra, E, den Hertog, D, Stehouwer, H P, and Vestjens, A, Constrained Maximin Designs for Computer Experiments. Technometrics (under revision) (2002).
• Models:

  maxmin

  Max Min Location of Points in Unit Square

Stinstra, E

• Stinstra, E, den Hertog, D, Stehouwer, H P, and Vestjens, A, Constrained Maximin Designs for Computer Experiments. Technometrics (under revision) (2002).
• Models:

  maxmin

  Max Min Location of Points in Unit Square

Stoutjesdijk, A J

• Choksi, A M, Meeraus, A, and Stoutjesdijk, A J, The Planning of Investment Programs in the Fertilizer Industry. The John Hopkins University Press, Baltimore and London, 1980.
• Brown, M, Dammert, A, Meeraus, A, and Stoutjesdijk, A J, Worldwide Investment Analysis - The Case of Aluminum. Tech. rep., The World Bank, 1983.
• Mennes, L B M, and Stoutjesdijk, A J, Multicountry Investment Analysis. The John Hopkins University Press, Baltimore and London, 1986.
• Blitzer, C, Meeraus, A, and Stoutjesdijk, A J, A Dynamic model of OPEC Trade and Production. Journal of Development Economics, 2 (1975), 318-335.
• Models:

  ferts	Egypt - Static Fertilizer Model
  fertd	Egypt - Dynamic Fertilizer Model
  alum	World Aluminum Model
  andean	Andean Fertilizer Model
  otpop	OPEC Trade and Production

Stutz, J

• Klingman, D, Napier, A, and Stutz, J, NETGEN: A program for generating large scale capacitated assignment, transportation, and minimum cost flow networks. Management Science 20 (1974), 814-820.
• Models:

  netgen

  Min Cost Flow with an Instance generated by NETGEN

Suh, J S

• Kendrick, D, Meeraus, A, and Suh, J S, Oil Refinery Modeling with the GAMS language. Tech. rep., Center of Energy Studies, University of Texas, 1981.
• Suh, J S, An Investment Planning Model for the Oil-Refining and Petro-chemical Industries in Korea. Tech. rep., Center for Economic Research, University of Texas, 1981.
• Models:

  marco	Mini Oil Refining Model
  korpet	Investment Planning in the Korean Oil-Petro Industry

Takayama, T

• Takayama, T, and Judge, G G, Spatial Equilibrium and Quadratic Programming. Journal of Farm Economics 46, 1 (1964), 67-93.
• Models:

  spatequ

  Spatial Equilibrium

Tarr, D

• Rutherford, T F, Tarr, D, and Shepotylo, O, Poverty Effects of Russia's WTO Accession: modeling 'real' households and endogenous productivity effects. Tech. rep., The World Bank, September 2004.
• Models:

  decomphh

  A Successive Recalibration Algorithm for GE Models with Many Households

Tawarmalani, M

• Adhya, N, Tawarmalani, M, and Sahinidis, N, A Lagrangian Approach to the Pooling Problem. Industrial and Engineering Chemical Research 38 (1999), 1956-1972.
• Tawarmalani, M, and Sahinidis, N, Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications. Kluwer, 2002.
• Adhya, N, Tawarmalani, M, and Sahinidis, N, Global optimization of the pooling problem. Industrial and Engineering Chemistry 38 (1999), 1956--1972.
• Models:

  haverly	Haverly's pooling problem example
  lmp1	Linear Multiplicative Model - Type 1
  lmp2	Linear Multiplicative Model - Type 2
  lmp3	Linear Multiplicative Model - Type 3
  pool	Pooling problem

Taylor, L

• Kendrick, D, and Taylor, L, Numerical methods and Nonlinear Optimizing models for Economic Planning. In Chenery, H B, Ed, Studies of Development Planning. Harvard University Press, 1971.
• Models:

  chakra

  Optimal Growth Model

Tayyabkhan, M T

• Aronofsky, J S, Dutton, J M, and Tayyabkhan, M T, Managerial Planning with Linear Programming. John Wiley and Sons, New York, 1978.
• Models:

  marco

  Mini Oil Refining Model

Teisberg, T J

• Teisberg, T J, A Dynamic Programming Model of the U.S. Strategic Petroleum Reserve. Bell Journal of Economics (1981).
• Models:

  markov

  Strategic Petroleum Reserve

Tendulkar, S

• Mitra, P, and Tendulkar, S, Coping with Internal and External Exogenous Shocks: India. Tech. rep., The World Bank, 1986.
• Models:

  ganges	Macroeconomic Framework for India
  gancns	Macro-Economic Framework for India - CNS

Thanassoulis

• Dyson, Thanassoulis, and Boussofiane, A DEA Tutorial. Warwick Business School
• Models:

  dea	Data Envelopment Analysis - DEA

Thienel, S

• Juenger, M, Reinelt, G, and Thienel, S, Optimal and Probably Good Solutions for the Symmetric Traveling Salesman Problem. Zeitschrift fuer Operations Research 40 (1994), 183--217.
• Models:

  awktsp

  Traveling Salesman Problem Instance prepared with AWK

Thoai, N V

• Thoai, N V, A global optimization approach for solving convex multiplicative programming problems. Journal of Global Optimization 1 (1991), 341-357.
• Models:

  lmp2	Linear Multiplicative Model - Type 2

Thompson, G

• Thompson, G, and Thor, S, Computational Economics: Economic Modeling with Optimization Software. The Scientific Press, San Francisco, 1991.
• Models:

  paperco

  Vertically Integrated Company

Thor, S

• Thompson, G, and Thor, S, Computational Economics: Economic Modeling with Optimization Software. The Scientific Press, San Francisco, 1991.
• Models:

  paperco

  Vertically Integrated Company

Thorpe, S

• Thorpe, S, The Effects of Fuel Economy Standards on Automobile Sales and Average Fuel Efficiency. Tech. rep., Department of Economics, University of Colorado, 1994.
• Models:

  cafemge

  Corporate average fuel economy standards

Tierney, L

• Tierney, L, XLISP-STAT, A Statistical Environment Based on the XLISP Language (Version 2.0), Number 528. Tech. rep., University of Minnesota, School of Statistics, 1989.
• Models:

  mlgamma

  Maximum Likelihood estimation of parameters of the gamma distribution

Tjoa, I B

• Tjoa, I B, and Biegler, L T, Simultaneous Solution and Optimization Strategies for Parameter Estimation of Differential-Algebraic Equations Systems. Ind. Eng. Chem. Res. 30 (1991), 376-385.
• Models:

  pinene	Isometrization of alpha-pinene COPS 2.0 #5
  gasoil	Catalytic cracking of gas oil COPS 2.0 #12
  methanol	Methanol to hydrocarbons COPS 2.0 #13

Toczek, J

• Toczek, J, Relief Mission. ORMS Today 37, 4 (2010), 14.
• Models:

  relief

  Relief Mission

Torma, H

• Torma, H, and Rutherford, T F, A General Equilibrium Assessment of Finland's grand Tax Reform. Tech. rep., Department of Economics and Management, University of Jyvaskyla, 1992.
• Models:

  finmge

  A General Equilibrium Model for Finland

Toth, P

• Martello, S, and Toth, P, Knapsack Problems: Algorithms and Computer Implementations. John Wiley and Sons, Chichester, 1990.
• Models:

  gapmin

  Lagrangian Relaxation of Assignment Problem

Trefethen, N

• Trefethen, N, The Hundred-dollar, Hundred-digit Challenge Problems. SIAM News, January - February 2002, page 3
• Models:

  mathopt6

  MathOptimizer Example 6

Tsitsiklis, J N

• Bertsekas, D P, and Tsitsiklis, J N, Parallel and distributed computation: numerical methods. Prentice-Hall, Inc., Upper Saddle River, NJ, USA, 1989.
• Models:

  jacobi

  Asynchronous Jacobi Methods

Tucker, A W

• Miller, C E, Tucker, A W, and Zemlin, R A, Integer Programming Formulation of Traveling Salesman Problems. J. ACM 7, 4 (1960), 326-329.
• Models:

  tsp5	TSP solution with Miller et al subtour elimination

Turkay M.

• Turkay M., and Grossmann, I E, Logic-Based Algorithms for the Optimal Synthesis of Process Networks. Computers and Chemical Engineering 20, 8 (1996), 959-978.
• Models:

  logmip3

  LogMIP User's Manual Example 3 - Synthesis of 8 Processes

Turvey, R

• Turvey, R, and Anderson, D, Electricity Economics: Essays and Case Studies. Johns Hopkins University Press, Baltimore and London, 1977.
• Models:

  turkpow

  Turkey Power Planning Model

van Dijk, N M

• Claessens, M T, van Dijk, N M, and Zwaneveld, P J, Cost Optimal Allocation of Rail Passenger Lines. European Journal Operation Research 110, 3 (1998), 474-489.
• Models:

  lop	Line Optimization

Vanderbei, R

• Vanderbei, R, Nonlinear Optimization Models.
• Vanderbei, R, Nonlinear Optimization Models (AMPL), See http://www.princeton.edu/~rvdb/ampl/nlmodels/.
• Models:

  robot	Robot arm COPS 2.0 #8
  emfl	Existing Multi Facility Location Problem - Cone Format

Vecchietti, A

• Vecchietti, A, LogMIP User's Manual, 2007. http://www.logmip.ceride.gov.ar/eng/documentation/logmip_manual.pdf
• Models:

  logmip1a	LogMIP User's Manual Example 1a - Job Scheduling
  logmip1b	LogMIP User's Manual Example 1b - Job Scheduling
  logmip1c	LogMIP User's Manual Example 1c - Job Scheduling
  logmip2	LogMIP User's Manual Example 2 - Example to illustrate disjunctions
  logmip4	LogMIP User's Manual Example 4 - Job Shop Scheduling

Vestjens, A

• Stinstra, E, den Hertog, D, Stehouwer, H P, and Vestjens, A, Constrained Maximin Designs for Computer Experiments. Technometrics (under revision) (2002).
• Models:

  maxmin

  Max Min Location of Points in Unit Square

Vietoriscz, T

• Manne, A S, and Vietoriscz, T, Chemical Processes, Plant Location, and Economies of Scale. In Manne, A S, and Markowitz, H M, Eds, Studies in Process Analysis. John Wiley and Sons, New York and London, 1963, p. 136.
• Models:

  vietman

  Vietoriscz Manne Fertilizer Model 1961

Viswanathan, J

• Viswanathan, J, and Grossmann, I E, A Combined Penalty Function and Outer Approximation Method for MINLP Optimization. Computers and Chemical Engineering 14, 7 (1990), 769-782.
• Models:

  feedtray

  Optimum Feed Plate Location

von Stryk, O

• Bulirsch, R, Nerz, E, Pesch, H J, and von Stryk, O, Combining Direct and Indirect Methods in Nonlinear Optimal Control: Range Maximization of a Hang Glider. In Bulirsch, R, Ed, Optimal Control. Birkhauser Verlag, 1993, pp. 273-288.
• von Stryk, O, User's Guide for DIRCOL (Version 2.1): A Direct Collocation Method for the Numerical Solution of Optimal Control Problems. Tech. rep., Technische Universitat Munchen, 1999.
• Models:

  glider	Hang glider COPS 2.0 #11
  catmix	Catalyst Mixing COPS 2.0 #14

von Thunen

• Rowse, Mackinnon, J, Samuelson, and von Thunen, General Equilibrium Variant of the von Thunen Model.
• Models:

  vonthmcp

  General Equilibrium Variant of the von Thunen Model

Voss, S

• Voss, S, and Woodruff, D L, Introduction to Computational Optimization Models for Production Planning in a Supply Chain.
• Models:

  mrp2	Materials Requirement Planning (MRP) Formulations

W. Roemisch

• H. Heitsch, W. Roemisch, and C. Strugarek, Stability of Multistage Stochastic Programs. SIAM Journal on Optimization 17 (2006), 511-525.
• Models:

  srpchase

  Scenario Tree Construction Example

Wagner, H M

• Wagner, H M, Principles of Operations Research with Applications to Managerial Decisions, Second Edition. Prentice-Hall, 1975.
• Models:

  sparta

  Military Manpower Planning from Wagner

Wall, T W

• Wall, T W, Greening, D, and Woolsey, R E D, Solving Complex Chemical Equilibria Using a Geometric-Programming Based Technique. Operations Research 34, 3 (1987).
• Models:

  wall	Chemical Equilibrium Problem
  wallmcp	Chemical Equilibrium Problem as MCP

Wallace, S W

• Kall, P, and Wallace, S W, Stochastic Programming. John Wiley and Sons, Chichester, England, 1994.
• Models:

  kand	Stochastic Programming
  srkandw	Stochastic Programming Scenario Reduction

Westerberg, A W

• Berna, T, Locke, M, and Westerberg, A W, A New Approach to Optimization of Chemical Processes. American Institute of Chemical Engineers Journal 26, 1 (1980), 37-43.
• Models:

  alkyl

  Simplified Alkylation Process

Westerlund, T

• Westerlund, T, Petterson, F, and Grossmann, I E, Optimization of Pump Configurations as a MINLP Problem. Computers and Chemical Engineering 18, 9 (1994), 845-858.
• Harjunkoski, I, Westerlund, T, Porn, R, and Skrifvars, H, Different Transformations for Solving Non-Convex Trim Loss Problems by MINLP. European Journal of Operational Research 105, 3 (1998), 594-603.
• Models:

  trimloss	Trim Loss Minimization
  pump	Pump Network Synthesis
  bchtlbas	Trim Loss Minimization with Heuristic using BCH Facility

Westphal, L E

• Chenery, H B, and Westphal, L E, Economies of Scale and Investment Over Time. In Chenery, H B, Ed, Structural Change and Development Policy. Oxford University Press, New York and Oxford, 1979.
• Models:

  westmip

  Economies of Scale and Investment over Time

Weyant, J P

• Manne, A S, Nelson, C R, So, K C, and Weyant, J P, CPM: A Contingency Planning Model of the International Oil Market, International Energy Program Report. Tech. rep., Stanford University, 1982.
• Models:

  srcpm

  Single-Region Contingency Planning Model

Whalley, J

• Shoven, J, and Whalley, J, Applied G.E. Models. Journal of Economic Literature 22 (1984).
• Balard, C L, Fullerton Don, Shoven, J, and Whalley, J, A General Equilibrium Model for Tax Policy Evaluation. University of Chicago Press, 1985.
• Models:

  two3mcp	Simple 2 x 2 x 2 General Equilibrium Model
  gemmge	GEMTAP: A general equilibrium model for tax policy
  two3mac	Simple 2 x 2 x 2 General Equilibrium Model Using Macros

Wiegele A.

• Wiegele A., Biq Mac Library - Binary quadratic and Max cut Library.
• Models:

  maxcut

  Goemans/Williamson Randomized Approximation Algorithm for MaxCut

Wiens, T B

• Wiens, T B, The Economics of High-yield Agriculture in China: Triple-Cropping at the Baimano Peoples' Commune. The World Bank, Washington DC, 1985.
• Models:

  china

  Organic Fertilizer Use in Intensive Farming

Williams, H P

• Day, R E, and Williams, H P, MAGIC: The design and use of an interactive modeling language for mathematical programming. Tech. rep., Department Business Studies, University of Edinburgh, 1982.
• Williams, H P, Model Building in Mathematical Programming. John Wiley and Sons, 1978.
• Williams, H P, Experiments in the formulation of Integer Programming Problems. Mathematical Programming Study 2 (1974).
• Models:

  magic	Magic Power Scheduling Problem
  mine	Opencast Mining
  cube	Three-Dimensional Noughts and Crosses
  food	Food Manufacturing Problem - Blending of oils

Williamson, D P

• Goemans M.X., and Williamson, D P, Improved Approximation Algorithms for Maximum Cut and Satisfiability Problems Using Semidefinite Programming. Journal of the ACM 42 (1995), 1115-1145.
• Models:

  maxcut

  Goemans/Williamson Randomized Approximation Algorithm for MaxCut

Wolfe, P

• Dantzig, G B, and Wolfe, P, Decomposition principle for linear programs. Operations Research 8 (1960), 101-111.
• Models:

  danwolfe

  Dantzig Wolfe Decomposition and Grid Computing

Wollenberg, B F

• Wood, A J, and Wollenberg, B F, Power Generation, Operation and Control. John Wiley and Sons, 1984.
• Models:

  dispatch	Economic Load Dispatch Including Transmission Losses
  hydro	Hydrothermal Scheduling Problem
  fuel	Fuel Scheduling and Unit Commitment Problem

Wolsey, L

• Ortega, F, and Wolsey, L, A branch-and-cut algorithm for the single-commodity, uncapacitated, fixed-charge network flow problem. Networks 41 (3) (2003), 143-158.
• Models:

  bchfcnet

  Fixed Cost Network Flow Problem with Cuts using BCH Facility

Wolsey, L A

• Pochet, Y, and Wolsey, L A, Production Planning by Mixed Integer Programming (Springer Series in Operations Research and Financial Engineering). Springer-Verlag New York, Inc., 2006.
• Models:

  prodplan

  A Production Planning Example

Wood, A J

• Wood, A J, and Wollenberg, B F, Power Generation, Operation and Control. John Wiley and Sons, 1984.
• Models:

  dispatch	Economic Load Dispatch Including Transmission Losses
  hydro	Hydrothermal Scheduling Problem
  fuel	Fuel Scheduling and Unit Commitment Problem

Woodruff, D L

• Voss, S, and Woodruff, D L, Introduction to Computational Optimization Models for Production Planning in a Supply Chain.
• Models:

  mrp2	Materials Requirement Planning (MRP) Formulations

Woolsey, R E D

• Wall, T W, Greening, D, and Woolsey, R E D, Solving Complex Chemical Equilibria Using a Geometric-Programming Based Technique. Operations Research 34, 3 (1987).
• Models:

  wall	Chemical Equilibrium Problem
  wallmcp	Chemical Equilibrium Problem as MCP

World Bank

• World Bank, Yemen Arab Republic - Manufacturing Industry: Performance, Policies and Prospectives. Tech. rep., The World Bank, 1982.
• World Bank, Pakistan Punjab Livestock Project. Tech. rep., The World Bank, 1977.
• World Bank, Tanzania: Appraisal of the Tabora Rural Development Project. Tech. rep., The World Bank, 1977.
• Models:

  yemcem	Yemen Cement Model
  paklive	Pakistan Punjab Livestock Model
  tabora	Tabora Rural Development - Fuelwood Production

Wright, M H

• Wright, M H, Numerical Methods for Nonlinearly Constraint Optimization. PhD thesis, Stanford University, 1976.
• Models:

  mhw4d	Nonlinear Test Problem
  mhw4dx	MHW4D with additional Tests
  mhw4dxx	MHW4DX with multiple solutions

Wright, S I

• Wright, S I, Le, Q H, Schoen, D J, and Bureau T E, Population Dynamics of an Ac-like Transposable Element in Self- and Cross-Pollinating Arabidopsis. Genetics 158 (2001), 1279-1288.
• Models:

  herves

  Herves (Transposable Element) Activity Calculations

Xue, G L

• Averick, B M, Carter, R G, More, J J, and Xue, G L, The MINPACK-2 Test Problem Collection. Tech. rep., Mathematics and Computer Science Division, Argonne National Laboratory, 1992.
• Models:

  pinene	Isometrization of alpha-pinene COPS 2.0 #5
  gasoil	Catalytic cracking of gas oil COPS 2.0 #12
  methanol	Methanol to hydrocarbons COPS 2.0 #13
  torsion	Elastic-plastic torsion COPS 2.0 #15
  jbearing	Journal bearing COPS 2.0 #16

Yee, T F

• Yee, T F, and Grossmann, I E, Simultaneous Optimization of Models for Heat Integration - Heat Exchanger Network Synthesis. Computers and Chemical Engineering 14, 10 (1990), 1165-1184.
• Models:

  synheat

  Simultaneous Optimization for Hen Synthesis

Yli-Olli, P

• Gunasekaran, A, Goyal, S K, Martikainen T, and Yli-Olli, P, Equipment Selection Problems in just-in-time Manufacturing Systems. Journal of the Operational Research Society 44 (1993), 345-353.
• Models:

  jit	Design of Just-in-Time Flowshops

Zemlin, R A

• Miller, C E, Tucker, A W, and Zemlin, R A, Integer Programming Formulation of Traveling Salesman Problems. J. ACM 7, 4 (1960), 326-329.
• Models:

  tsp5	TSP solution with Miller et al subtour elimination

Zenios, S A

• Zenios, S A, Drud, A S, and Mulvey, J, Balancing some large Social Accounting Matrices with Nonlinear Programming. Tech. rep., Department of Civil Engineering, Princeton University, 1986.
• Zenios, S A, Ed, Financial Optimization. Cambridge University Press, New York, NY, 1993.
• Models:

  sambal	Social Accounting Matrix Balancing Problem
  immun	Financial Optimization: Risk Management
  worst	Financial Optimization: Risk Management
  meanvar	Financial Optimization: Risk Management
  meanvarx	Financial Optimization: Risk Management
  cmo	Financial Optimization: Financial Engineering
  tba	Financial Optimization: Financial Engineering
  qsambal	Social Accounting Matrix Balancing Problem QCP
  qmeanvar	Financial Optimization: Risk Management using MIQCP
  qmeanvag	Portfolio Modeling with Parallel Solutions

Zimmermann, U T

• Bussieck, M R, Kreuzer, P, and Zimmermann, U T, Optimal Lines for Railway Systems. European Journal of Operation Research 96, 1 (1996), 54-63.
• Models:

  lop	Line Optimization

Zloof, M M

• Zloof, M M, Query-by-Example: A Data Base Language. IBM Systems Journal 16, 4 (1977), 324-343.
• Models:

  zloof

  Relational Database Example

Zwaneveld, P J

• Claessens, M T, van Dijk, N M, and Zwaneveld, P J, Cost Optimal Allocation of Rail Passenger Lines. European Journal Operation Research 110, 3 (1998), 474-489.
• Models:

  lop	Line Optimization